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Top 10 Software Engineer Research Topics for 2024

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Software engineering, in general, is a dynamic and rapidly changing field that demands a thorough understanding of concepts related to programming, computer science, and mathematics. As software systems become more complicated in the future, software developers must stay updated on industry innovations and the latest trends. Working on software engineering research topics is an important part of staying relevant in the field of software engineering. 

Software engineers can do research to learn about new technologies, approaches, and strategies for developing and maintaining complex software systems. Software engineers can conduct research on a wide range of topics. Software engineering research is also vital for increasing the functionality, security, and dependability of software systems. Going for the Top Programming Certification course contributes to the advancement of the field's state of the art and assures that software engineers can continue to build high-quality, effective software systems.

What are Software Engineer Research Topics?

Software engineer research topics are areas of exploration and study in the rapidly evolving field of software engineering. These research topics include various software development approaches, quality of software, testing of software, maintenance of software, security measures for software, machine learning models in software engineering, DevOps, and architecture of software. Each of these software engineer research topics has distinct problems and opportunities for software engineers to investigate and make major contributions to the field. In short, research topics for software engineering provide possibilities for software engineers to investigate new technologies, approaches, and strategies for developing and managing complex software systems. 

For example, research on agile software development could identify the benefits and drawbacks of using agile methodology, as well as develop new techniques for effectively implementing agile practices. Software testing research may explore new testing procedures and tools, as well as assess the efficacy of existing ones. Software quality research may investigate the elements that influence software quality and develop approaches for enhancing software system quality and minimizing the faults and errors. Software metrics are quantitative measures that are used to assess the quality, maintainability, and performance of software. 

The research papers on software engineering topics in this specific area could identify novel measures for evaluating software systems or techniques for using metrics to improve the quality of software. The practice of integrating code changes into a common repository and pushing code changes to production in small, periodic batches is known as continuous integration and deployment (CI/CD). This research could investigate the best practices for establishing CI/CD or developing tools and approaches for automating the entire CI/CD process.

Top Software Engineer Research Topics

1. artificial intelligence and software engineering.

Intersections between AI and SE

The creation of AI-powered software engineering tools is one potential research area at the intersection of artificial intelligence (AI) and software engineering. These technologies use AI techniques that include machine learning, natural language processing, and computer vision to help software engineers with a variety of tasks throughout the software development lifecycle. An AI-powered code review tool, for example, may automatically discover potential flaws or security vulnerabilities in code, saving developers a lot of time and lowering the chance of human error. Similarly, an AI-powered testing tool might build test cases and analyze test results automatically to discover areas for improvement. 

Furthermore, AI-powered project management tools may aid in the planning and scheduling of projects, resource allocation, and risk management in the project. AI can also be utilized in software maintenance duties such as automatically discovering and correcting defects or providing code refactoring solutions. However, the development of such tools presents significant technical and ethical challenges, such as the necessity of large amounts of high-quality data, the risk of bias present in AI algorithms, and the possibility of AI replacing human jobs. Continuous study in this area is therefore required to ensure that AI-powered software engineering tools are successful, fair, and responsible.

Knowledge-based Software Engineering

Another study area that overlaps with AI and software engineering is knowledge-based software engineering (KBSE). KBSE entails creating software systems capable of reasoning about knowledge and applying that knowledge to enhance software development processes. The development of knowledge-based systems that can help software engineers in detecting and addressing complicated problems is one example of KBSE in action. To capture domain-specific knowledge, these systems use knowledge representation techniques such as ontologies, and reasoning algorithms such as logic programming or rule-based systems to derive new knowledge from already existing data. 

KBSE can be utilized in the context of AI and software engineering to create intelligent systems capable of learning from past experiences and applying that information to improvise future software development processes. A KBSE system, for example, may be used to generate code based on previous code samples or to recommend code snippets depending on the requirements of a project. Furthermore, KBSE systems could be used to improve the precision and efficiency of software testing and debugging by identifying and prioritizing bugs using knowledge-based techniques. As a result, continued research in this area is critical to ensuring that AI-powered software engineering tools are productive, fair, and responsible.

2. Natural Language Processing


Multimodality in Natural Language Processing (NLP) is one of the appealing research ideas for software engineering at the nexus of computer vision, speech recognition, and NLP. The ability of machines to comprehend and generate language from many modalities, such as text, speech, pictures, and video, is referred to as multimodal NLP. The goal of multimodal NLP is to develop systems that can learn from and interpret human communication across several modalities, allowing them to engage with humans in more organic and intuitive ways. 

The building of conversational agents or chatbots that can understand and create responses using several modalities is one example of multimodal NLP in action. These agents can analyze text input, voice input, and visual clues to provide more precise and relevant responses, allowing users to have a more natural and seamless conversational experience. Furthermore, multimodal NLP can be used to enhance language translation systems, allowing them to more accurately and effectively translate text, speech, and visual content.

The development of multimodal NLP systems must take efficiency into account. as multimodal NLP systems require significant computing power to process and integrate information from multiple modalities, optimizing their efficiency is critical to ensuring that they can operate in real-time and provide users with accurate and timely responses. Developing algorithms that can efficiently evaluate and integrate input from several modalities is one method for improving the efficiency of multimodal NLP systems. 

Overall, efficiency is a critical factor in the design of multimodal NLP systems. Researchers can increase the speed, precision, and scalability of these systems by inventing efficient algorithms, pre-processing approaches, and hardware architectures, allowing them to run successfully and offer real-time replies to consumers. Software Engineering training will help you level up your career and gear up to land you a job in the top product companies as a skilled Software Engineer. 

3. Applications of Data Mining in Software Engineering

Mining Software Engineering Data

The mining of software engineering data is one of the significant research paper topics for software engineering, involving the application of data mining techniques to extract insights from enormous datasets that are generated during software development processes. The purpose of mining software engineering data is to uncover patterns, trends, and various relationships that can inform software development practices, increase software product quality, and improve software development process efficiency. 

Mining software engineering data, despite its potential benefits, has various obstacles, including the quality of data, scalability, and privacy of data. Continuous research in this area is required to develop more effective data mining techniques and tools, as well as methods for ensuring data privacy and security, to address these challenges. By tackling these issues, mining software engineering data can continue to promote many positive aspects in software development practices and the overall quality of product.

Clustering and Text Mining

Clustering is a data mining approach that is used to group comparable items or data points based on their features or characteristics. Clustering can be used to detect patterns and correlations between different components of software, such as classes, methods, and modules, in the context of software engineering data. 

On the other hand, text mining is a method of data mining that is used to extract valuable information from unstructured text data such as software manuals, code comments, and bug reports. Text mining can be applied in the context of software engineering data to find patterns and trends in software development processes

4. Data Modeling

Data modeling is an important area of research paper topics in software engineering study, especially in the context of the design of databases and their management. It involves developing a conceptual model of the data that a system will need to store, organize, and manage, as well as establishing the relationships between various data pieces. One important goal of data modeling in software engineering research is to make sure that the database schema precisely matches the system's and its users' requirements. Working closely with stakeholders to understand their needs and identify the data items that are most essential to them is necessary.

5. Verification and Validation

Verification and validation are significant research project ideas for software engineering research because they help us to ensure that software systems are correctly built and suit the needs of their users. While most of the time, these terms are frequently used interchangeably, they refer to distinct stages of the software development process. The process of ensuring that a software system fits its specifications and needs is referred to as verification. This involves testing the system to confirm that it behaves as planned and satisfies the functional and performance specifications. In contrast, validation is the process of ensuring that a software system fulfils the needs of its users and stakeholders. 

This includes ensuring that the system serves its intended function and meets the requirements of its users. Verification and validation are key components of the software development process in software engineering research. Researchers can help to improve the functionality and dependability of software systems, minimize the chance of faults and mistakes, and ultimately develop better software products for their consumers by verifying that software systems are designed correctly and that they satisfy the needs of their users.

6. Software Project Management

Software project management is an important component of software engineering research because it comprises the planning, organization, and control of resources and activities to guarantee that software projects are finished on time, within budget, and to the needed quality standards. One of the key purposes of software project management in research is to guarantee that the project's stakeholders, such as users, clients, and sponsors, are satisfied with their needs. This includes defining the project's requirements, scope, and goals, as well as identifying potential risks and restrictions to the project's success.

7. Software Quality

The quality of a software product is defined as how well it fits in with its criteria, how well it performs its intended functions, and meets the needs of its consumers. It includes features such as dependability, usability, maintainability, effectiveness, and security, among others. Software quality is a prominent and essential research topic in software engineering. Researchers are working to provide methodologies, strategies, and tools for evaluating and improving software quality, as well as forecasting and preventing software faults and defects. Overall, software quality research is a large and interdisciplinary field that combines computer science, engineering, and statistics. Its mission is to increase the reliability, accessibility, and overall quality of software products and systems, thereby benefiting both software developers and end consumers.

8. Ontology

Ontology is a formal specification of a conception of a domain used in computer science to allow knowledge sharing and reuse. Ontology is a popular and essential area of study in the context of software engineering research. The construction of ontologies for specific domains or application areas could be a research topic in ontology for software engineering. For example, a researcher may create an ontology for the field of e-commerce to give common knowledge and terminology to software developers as well as stakeholders in that domain. The integration of several ontologies is another intriguing study topic in ontology for software engineering. As the number of ontologies generated for various domains and applications grows, there is an increasing need to integrate them in order to enable interoperability and reuse.

9. Software Models

In general, a software model acts as an abstract representation of a software system or its components. Software models can be used to help software developers, different stakeholders, and users communicate more effectively, as well as to properly evaluate, design, test, and maintain software systems. The development and evaluation of modeling languages and notations is one research example connected to software models. Researchers, for example, may evaluate the usefulness and efficiency of various modeling languages, such as UML or BPMN, for various software development activities or domains. 

Researchers could also look into using software models for software testing and verification. They may investigate how models might be used to produce test cases or to do model checking, a formal technique for ensuring the correctness of software systems. They may also examine the use of models for monitoring at runtime and software system adaptation.

The Software Development Life Cycle (SDLC) is a software engineering process for planning, designing, developing, testing, and deploying software systems. SDLC is an important research issue in software engineering since it is used to manage software projects and ensure the quality of the resultant software products by software developers and project managers. The development and evaluation of novel software development processes is one SDLC-related research topic. SDLC research also includes the creation and evaluation of different software project management tools and practices. 

Researchers may also check the implementation of SDLC in specific sectors or applications. They may, for example, investigate the use of SDLC in the development of systems that are more safety-critical, such as medical equipment or aviation systems, and develop new processes or tools to ensure the safety and reliability of these systems. They may also look into using SDLC to design software systems in new sectors like the Internet of Things or in blockchain technology.

Why is Software Engineering Required?

Software engineering is necessary because it gives a systematic way to developing, designing, and maintaining reliable, efficient, and scalable software. As software systems have become more complicated over time, software engineering has become a vital discipline to ensure that software is produced in a way that is fully compatible with end-user needs, reliable, and long-term maintainable.

When the cost of software development is considered, software engineering becomes even more important. Without a disciplined strategy, developing software can result in overinflated costs, delays, and a higher probability of errors that require costly adjustments later. Furthermore, software engineering can help reduce the long-term maintenance costs that occur by ensuring that software is designed to be easy to maintain and modify. This can save money in the long run by lowering the number of resources and time needed to make software changes as needed.

2. Scalability

Scalability is an essential factor in software development, especially for programs that have to manage enormous amounts of data or an increasing number of users. Software engineering provides a foundation for creating scalable software that can evolve over time. The capacity to deploy software to diverse contexts, such as cloud-based platforms or distributed systems, is another facet of scalability. Software engineering can assist in ensuring that software is built to be readily deployed and adjusted for various environments, resulting in increased flexibility and scalability.

3. Large Software

Developers can break down huge software systems into smaller, simpler parts using software engineering concepts, making the whole system easier to maintain. This can help to reduce the software's complexity and makes it easier to maintain the system over time. Furthermore, software engineering can aid in the development of large software systems in a modular fashion, with each module doing a specific function or set of functions. This makes it easier to push new features or functionality to the product without causing disruptions to the existing codebase.

4. Dynamic Nature

Developers can utilize software engineering techniques to create dynamic content that is modular and easily modifiable when user requirements change. This can enable adding new features or functionality to dynamic content easier without disturbing the existing codebase. Another factor to consider for dynamic content is security. Software engineering can assist in ensuring that dynamic content is generated in a secure manner that protects user data and information.

5. Better Quality Management

An organized method of quality management in software development is provided by software engineering. Developers may ensure that software is conceived, produced, and maintained in a way that fulfills quality requirements and provides value to users by adhering to software engineering principles. Requirement management is one component of quality management in software engineering. Testing and validation are another part of quality control in software engineering. Developers may verify that their software satisfies its requirements and is error-free by using an organized approach to testing.

In conclusion, the subject of software engineering provides a diverse set of research topics with the ability to progress the discipline while enhancing software development and maintenance procedures. This article has dived deep into various research topics in software engineering for masters and research topics for software engineering students such as software testing and validation, software security, artificial intelligence, Natural Language Processing, software project management, machine learning, Data Mining, etc. as research subjects. Software engineering researchers have an interesting chance to explore these and other research subjects and contribute to the development of creative solutions that can improve software quality, dependability, security, and scalability. 

Researchers may make important contributions to the area of software engineering and help tackle some of the most serious difficulties confronting software development and maintenance by staying updated with the latest research trends and technologies. As software grows more important in business and daily life, there is a greater demand for current research topics in software engineering into new software engineering processes and techniques. Software engineering researchers can assist in shaping the future of software creation and maintenance through their research, ensuring that software stays dependable, safe, reliable and efficient in an ever-changing technological context. KnowledgeHut’s top Programming certification course will help you leverage online programming courses from expert trainers.

Frequently Asked Questions (FAQs)

Ans: To find a research topic in software engineering, you can review recent papers and conference proceedings, talk to different experts in the field, and evaluate your own interests and experience. You can use a combination of these approaches. 

Ans: You should study software development processes, various programming languages and their frameworks, software testing and quality assurance, software architecture, various design patterns that are currently being used, and software project management as a software engineering student. 

Ans: Empirical research, experimental research, surveys, case studies, and literature reviews are all types of research in software engineering. Each sort of study has advantages and disadvantages, and the research method chosen is determined by the research objective, resources, and available data. 


Eshaan Pandey

Eshaan is a Full Stack web developer skilled in MERN stack. He is a quick learner and has the ability to adapt quickly with respect to projects and technologies assigned to him. He has also worked previously on UI/UX web projects and delivered successfully. Eshaan has worked as an SDE Intern at Frazor for a span of 2 months. He has also worked as a Technical Blog Writer at KnowledgeHut upGrad writing articles on various technical topics.

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Software Engineer Research Paper Topics 2021: Top 5

research topics for software engineering students

Whether you’re studying in advance or you’re close to getting that Software Engineering degree, it’s crucial that you look for possible research paper topics in advance. This will help you have an advantage in your course.

First off, remember that software engineering revolves around tech development and improvement.

Hence, your research paper should have the same goal. It shouldn’t be too complex so that you can go through it smoothly. At the same time, it shouldn’t be too easy to the point that it can be looked up online.

Choosing can be a difficult task. Students are often choosing buy assignment from a professional writer because of the wrong topic choice. Thus, to help you land on the best topic for your needs, we have listed the top 5 software engineer research paper topics in the next sections.

Machine Learning

Machine learning is one of the most used research topics of software engineers. If you’re not yet familiar with this, it’s a field that revolves around producing programs that improve its algorithm on its own just by the use of existing data and experience.

Basically, the art of machine learning aims to make intelligent tools. Here, you will need to use various statistical methods for your computers’ algorithms. This somehow makes it a complex and long topic.

Even so, the good thing about the said field is it covers a lot of subtopics. These can include using machine learning for face spoof detection, iris detection, sentiment analysis technique, and likes. Usually, though, machine learning will go hand in hand with certain detection systems.

Artificial Intelligence

Artificial Intelligence is a much easier concept than machine learning. Note, though, that the latter is just another type of AI tool.

AI refers to the human-like intelligence integrated into machines and computer programs. Focusing on this will give you much more topics to write about. Since it’s present in a lot of fields like gaming, marketing, and even random automated tasks, you will have more materials to refer to.

Some things that you can write about in your paper include AI’s relationship with software engineering, robotics, and natural processing. You can also write about the different types of artificial intelligence tools for a more guided research paper.

Internet Of Things

Another topic that you can write about is the Internet of Things, or more commonly known as IoT . This refers to interconnected devices, machines, or even living beings as long as a network exists.

Writing about IoT will open a huge array of possibilities to write about. You can talk about whether the topic is a problem that needs additional solutions or improvements. At the same time, you will be able to talk about specific machine requirements since IoT works mainly with communication servers.

In addition, the concept of the Internet of Things is also used in several fields like agriculture, e-commerce, and medicine. Because of this, you can rest assured that you won’t run out of things to talk about or refer to.

Software Development Models

Next up, we have software development models. If you want to write about a research paper(or maybe you decided to purchase custom research paper ?) relating to how one can start building an app or software, then using software development models as a topic is a good choice.

Here, you can choose to write about what the concept is or delve deeper into its different types. You can look into the Waterfall Model, V-Model, Incremental, RAD, Agile, Iterative, Spiral, and Prototype. You can choose either one or all of the models and then relate them to software engineering.

Clone Management

One of the most important elements in software engineering is the clone base. Hence, using this as a research topic will help you stay relevant to your course and its needs. In particular, you can focus on clone management.

Clone management is a task that revolves around ensuring that a database is free from error and duplicated codes. What makes this a good topic is its materials are still limited in the field of software engineering. This is compared to other clone-related topics. Hence, you can ensure a distinct topic for your paper.

To land on the best topic, take your interest into account. Look for the field that makes you curious and entertained. In this way, you can build motivation to actually know more about it, and not just for the sake of submitting.

Another good tip is to choose a unique topic. The ones we discussed above can be considered unique since they are some of the latest software-related topics. If you’re going to use a common one, then make sure that you put your own little twist to it. You can also consider seeing the topic in a different light.

Anyhow, your research paper, its grade, and overall quality will greatly depend on what you choose to write about.

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research topics for software engineering students

Princeton University

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research topics for software engineering students

How to Contact Faculty for IW/Thesis Advising

Send the professor an e-mail. When you write a professor, be clear that you want a meeting regarding a senior thesis or one-on-one IW project, and briefly describe the topic or idea that you want to work on. Check the faculty listing for email addresses.

Parastoo Abtahi, Room 419

Available for single-semester IW and senior thesis advising, 2024-2025

  • Research Areas: Human-Computer Interaction (HCI), Augmented Reality (AR), and Spatial Computing
  • Input techniques for on-the-go interaction (e.g., eye-gaze, microgestures, voice) with a focus on uncertainty, disambiguation, and privacy.
  • Minimal and timely multisensory output (e.g., spatial audio, haptics) that enables users to attend to their physical environment and the people around them, instead of a 2D screen.
  • Interaction with intelligent systems (e.g., IoT, robots) situated in physical spaces with a focus on updating users’ mental model despite the complexity and dynamicity of these systems.

Ryan Adams, Room 411

Research areas:

  • Machine learning driven design
  • Generative models for structured discrete objects
  • Approximate inference in probabilistic models
  • Accelerating solutions to partial differential equations
  • Innovative uses of automatic differentiation
  • Modeling and optimizing 3d printing and CNC machining

Andrew Appel, Room 209

Available for Fall 2024 IW advising, only

  • Research Areas: Formal methods, programming languages, compilers, computer security.
  • Software verification (for which taking COS 326 / COS 510 is helpful preparation)
  • Game theory of poker or other games (for which COS 217 / 226 are helpful)
  • Computer game-playing programs (for which COS 217 / 226)
  •  Risk-limiting audits of elections (for which ORF 245 or other knowledge of probability is useful)

Sanjeev Arora, Room 407

  • Theoretical machine learning, deep learning and its analysis, natural language processing. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning.
  • Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487). 
  • Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages. 
  • Studying/designing provable algorithms for machine learning and implementions using packages like scipy and MATLAB, including applications in Natural language processing and deep learning.
  • Any topic in theoretical computer science.

David August, Room 221

Not available for IW or thesis advising, 2024-2025

  • Research Areas: Computer Architecture, Compilers, Parallelism
  • Containment-based approaches to security:  We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system.   Let's explore ways to use containment to solve real problems.  Expect to work with corporate security and technology decision-makers.
  • Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures.  Let's find ways to realize this parallelism.
  • Any other interesting topic in computer architecture or compilers. 

Mark Braverman, 194 Nassau St., Room 231

  • Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory.
  • Topics in computational and communication complexity.
  • Applications of information theory in complexity theory.
  • Algorithms for problems under real-life assumptions.
  • Game theory, network effects
  • Mechanism design (could be on a problem proposed by the student)

Sebastian Caldas, 221 Nassau Street, Room 105

  • Research Areas: collaborative learning, machine learning for healthcare. Typically, I will work with students that have taken COS324.
  • Methods for collaborative and continual learning.
  • Machine learning for healthcare applications.

Bernard Chazelle, 194 Nassau St., Room 301

  • Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms. 
  • Natural algorithms (flocking, swarming, social networks, etc).
  • Sublinear algorithms
  • Self-improving algorithms
  • Markov data structures

Danqi Chen, Room 412

  • My advisees would be expected to have taken a course in machine learning and ideally have taken COS484 or an NLP graduate seminar.
  • Representation learning for text and knowledge bases
  • Pre-training and transfer learning
  • Question answering and reading comprehension
  • Information extraction
  • Text summarization
  • Any other interesting topics related to natural language understanding/generation

Marcel Dall'Agnol, Corwin 034

  • Research Areas: Theoretical computer science. (Specifically, quantum computation, sublinear algorithms, complexity theory, interactive proofs and cryptography)
  • Research Areas: Machine learning

Jia Deng, Room 423

  •  Research Areas: Computer Vision, Machine Learning.
  • Object recognition and action recognition
  • Deep Learning, autoML, meta-learning
  • Geometric reasoning, logical reasoning

Adji Bousso Dieng, Room 406

  • Research areas: Vertaix is a research lab at Princeton University led by Professor Adji Bousso Dieng. We work at the intersection of artificial intelligence (AI) and the natural sciences. The models and algorithms we develop are motivated by problems in those domains and contribute to advancing methodological research in AI. We leverage tools in statistical machine learning and deep learning in developing methods for learning with the data, of various modalities, arising from the natural sciences.

Robert Dondero, Corwin Hall, Room 038

  • Research Areas:  Software engineering; software engineering education.
  • Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond.
  • In particular, can code critiquing tools help students learn about software quality?

Zeev Dvir, 194 Nassau St., Room 250

  • Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics.
  • Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. A project could also be based on writing a survey paper describing results from a few theory papers revolving around some particular subject.

Benjamin Eysenbach, Room 416

  • Research areas: reinforcement learning, machine learning. My advisees would typically have taken COS324.
  • Using RL algorithms to applications in science and engineering.
  • Emergent behavior of RL algorithms on high-fidelity robotic simulators.
  • Studying how architectures and representations can facilitate generalization.

Christiane Fellbaum, 1-S-14 Green

  • Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology
  • Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. Some topics students have worked on in the past:
  • Developing parsers, part-of-speech taggers, morphological analyzers for underrepresented languages (you don't have to know the language to develop such tools!)
  • Quantitative approaches to theoretical linguistics questions
  • Extensions and interfaces for WordNet (English and WN in other languages),
  • Applications of WordNet(s), including:
  • Foreign language tutoring systems,
  • Spelling correction software,
  • Word-finding/suggestion software for ordinary users and people with memory problems,
  • Machine Translation 
  • Sentiment and Opinion detection
  • Automatic reasoning and inferencing
  • Collaboration with professors in the social sciences and humanities ("Digital Humanities")

Adam Finkelstein, Room 424 

  • Research Areas: computer graphics, audio.

Robert S. Fish, Corwin Hall, Room 037

  • Networking and telecommunications
  • Learning, perception, and intelligence, artificial and otherwise;
  • Human-computer interaction and computer-supported cooperative work
  • Online education, especially in Computer Science Education
  • Topics in research and development innovation methodologies including standards, open-source, and entrepreneurship
  • Distributed autonomous organizations and related blockchain technologies

Michael Freedman, Room 308 

  • Research Areas: Distributed systems, security, networking
  • Projects related to streaming data analysis, datacenter systems and networks, untrusted cloud storage and applications. Please see my group website at for current research projects.

Ruth Fong, Room 032

  • Research Areas: computer vision, machine learning, deep learning, interpretability, explainable AI, fairness and bias in AI
  • Develop a technique for understanding AI models
  • Design a AI model that is interpretable by design
  • Build a paradigm for detecting and/or correcting failure points in an AI model
  • Analyze an existing AI model and/or dataset to better understand its failure points
  • Build a computer vision system for another domain (e.g., medical imaging, satellite data, etc.)
  • Develop a software package for explainable AI
  • Adapt explainable AI research to a consumer-facing problem

Note: I am happy to advise any project if there's a sufficient overlap in interest and/or expertise; please reach out via email to chat about project ideas.

Tom Griffiths, Room 405

Available for Fall 2024 single-semester IW advising, only

Research areas: computational cognitive science, computational social science, machine learning and artificial intelligence

Note: I am open to projects that apply ideas from computer science to understanding aspects of human cognition in a wide range of areas, from decision-making to cultural evolution and everything in between. For example, we have current projects analyzing chess game data and magic tricks, both of which give us clues about how human minds work. Students who have expertise or access to data related to games, magic, strategic sports like fencing, or other quantifiable domains of human behavior feel free to get in touch.

Aarti Gupta, Room 220

  • Research Areas: Formal methods, program analysis, logic decision procedures
  • Finding bugs in open source software using automatic verification tools
  • Software verification (program analysis, model checking, test generation)
  • Decision procedures for logical reasoning (SAT solvers, SMT solvers)

Elad Hazan, Room 409  

  • Research interests: machine learning methods and algorithms, efficient methods for mathematical optimization, regret minimization in games, reinforcement learning, control theory and practice
  • Machine learning, efficient methods for mathematical optimization, statistical and computational learning theory, regret minimization in games.
  • Implementation and algorithm engineering for control, reinforcement learning and robotics
  • Implementation and algorithm engineering for time series prediction

Felix Heide, Room 410

  • Research Areas: Computational Imaging, Computer Vision, Machine Learning (focus on Optimization and Approximate Inference).
  • Optical Neural Networks
  • Hardware-in-the-loop Holography
  • Zero-shot and Simulation-only Learning
  • Object recognition in extreme conditions
  • 3D Scene Representations for View Generation and Inverse Problems
  • Long-range Imaging in Scattering Media
  • Hardware-in-the-loop Illumination and Sensor Optimization
  • Inverse Lidar Design
  • Phase Retrieval Algorithms
  • Proximal Algorithms for Learning and Inference
  • Domain-Specific Language for Optics Design

Peter Henderson , 302 Sherrerd Hall

  • Research Areas: Machine learning, law, and policy

Kyle Jamieson, Room 306

  • Research areas: Wireless and mobile networking; indoor radar and indoor localization; Internet of Things
  • See other topics on my independent work  ideas page  (campus IP and CS dept. login req'd)

Alan Kaplan, 221 Nassau Street, Room 105

Research Areas:

  • Random apps of kindness - mobile application/technology frameworks used to help individuals or communities; topic areas include, but are not limited to: first response, accessibility, environment, sustainability, social activism, civic computing, tele-health, remote learning, crowdsourcing, etc.
  • Tools automating programming language interoperability - Java/C++, React Native/Java, etc.
  • Software visualization tools for education
  • Connected consumer devices, applications and protocols

Brian Kernighan, Room 311

  • Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology
  • Application-oriented languages, scripting languages.
  • Tools; user interfaces
  • Digital humanities

Zachary Kincaid, Room 219

  • Research areas: programming languages, program analysis, program verification, automated reasoning
  • Independent Research Topics:
  • Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to, or by identifying a tractable sub-problem, ...).
  • Design a domain-specific programming language, or prototype a new feature for an existing language.
  • Any interesting project related to programming languages or logic.

Gillat Kol, Room 316

Aleksandra korolova, 309 sherrerd hall.

  • Research areas: Societal impacts of algorithms and AI; privacy; fair and privacy-preserving machine learning; algorithm auditing.

Advisees typically have taken one or more of COS 226, COS 324, COS 423, COS 424 or COS 445.

Pravesh Kothari, Room 320

  • Research areas: Theory

Amit Levy, Room 307

  • Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things
  • Distributed hardware testing infrastructure
  • Second factor security tokens
  • Low-power wireless network protocol implementation
  • USB device driver implementation

Kai Li, Room 321

  • Research Areas: Distributed systems; storage systems; content-based search and data analysis of large datasets.
  • Fast communication mechanisms for heterogeneous clusters.
  • Approximate nearest-neighbor search for high dimensional data.
  • Data analysis and prediction of in-patient medical data.
  • Optimized implementation of classification algorithms on manycore processors.

Xiaoyan Li, 221 Nassau Street, Room 104

  • Research areas: Information retrieval, novelty detection, question answering, AI, machine learning and data analysis.
  • Explore new statistical retrieval models for document retrieval and question answering.
  • Apply AI in various fields.
  • Apply supervised or unsupervised learning in health, education, finance, and social networks, etc.
  • Any interesting project related to AI, machine learning, and data analysis.

Lydia Liu, Room 414

  • Research Areas: algorithmic decision making, machine learning and society
  • Theoretical foundations for algorithmic decision making (e.g. mathematical modeling of data-driven decision processes, societal level dynamics)
  • Societal impacts of algorithms and AI through a socio-technical lens (e.g. normative implications of worst case ML metrics, prediction and model arbitrariness)
  • Machine learning for social impact domains, especially education (e.g. responsible development and use of LLMs for education equity and access)
  • Evaluation of human-AI decision making using statistical methods (e.g. causal inference of long term impact)

Wyatt Lloyd, Room 323

  • Research areas: Distributed Systems
  • Caching algorithms and implementations
  • Storage systems
  • Distributed transaction algorithms and implementations

Alex Lombardi , Room 312

  • Research Areas: Theory

Margaret Martonosi, Room 208

  • Quantum Computing research, particularly related to architecture and compiler issues for QC.
  • Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications
  • Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices.
  • Other topics in computer architecture or mobile / IoT systems also possible.

Jonathan Mayer, Sherrerd Hall, Room 307 

Available for Spring 2025 single-semester IW, only

  • Research areas: Technology law and policy, with emphasis on national security, criminal procedure, consumer privacy, network management, and online speech.
  • Assessing the effects of government policies, both in the public and private sectors.
  • Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior.
  • Developing new tools to improve government processes and offer policy alternatives.

Mae Milano, Room 307

  • Local-first / peer-to-peer systems
  • Wide-ares storage systems
  • Consistency and protocol design
  • Type-safe concurrency
  • Language design
  • Gradual typing
  • Domain-specific languages
  • Languages for distributed systems

Andrés Monroy-Hernández, Room 405

  • Research Areas: Human-Computer Interaction, Social Computing, Public-Interest Technology, Augmented Reality, Urban Computing
  • Research interests:developing public-interest socio-technical systems.  We are currently creating alternatives to gig work platforms that are more equitable for all stakeholders. For instance, we are investigating the socio-technical affordances necessary to support a co-op food delivery network owned and managed by workers and restaurants. We are exploring novel system designs that support self-governance, decentralized/federated models, community-centered data ownership, and portable reputation systems.  We have opportunities for students interested in human-centered computing, UI/UX design, full-stack software development, and qualitative/quantitative user research.
  • Beyond our core projects, we are open to working on research projects that explore the use of emerging technologies, such as AR, wearables, NFTs, and DAOs, for creative and out-of-the-box applications.

Christopher Moretti, Corwin Hall, Room 036

  • Research areas: Distributed systems, high-throughput computing, computer science/engineering education
  • Expansion, improvement, and evaluation of open-source distributed computing software.
  • Applications of distributed computing for "big science" (e.g. biometrics, data mining, bioinformatics)
  • Software and best practices for computer science education and study, especially Princeton's 126/217/226 sequence or MOOCs development
  • Sports analytics and/or crowd-sourced computing

Radhika Nagpal, F316 Engineering Quadrangle

  • Research areas: control, robotics and dynamical systems

Karthik Narasimhan, Room 422

  • Research areas: Natural Language Processing, Reinforcement Learning
  • Autonomous agents for text-based games ( )
  • Transfer learning/generalization in NLP
  • Techniques for generating natural language
  • Model-based reinforcement learning

Arvind Narayanan, 308 Sherrerd Hall 

Research Areas: fair machine learning (and AI ethics more broadly), the social impact of algorithmic systems, tech policy

Pedro Paredes, Corwin Hall, Room 041

My primary research work is in Theoretical Computer Science.

 * Research Interest: Spectral Graph theory, Pseudorandomness, Complexity theory, Coding Theory, Quantum Information Theory, Combinatorics.

The IW projects I am interested in advising can be divided into three categories:

 1. Theoretical research

I am open to advise work on research projects in any topic in one of my research areas of interest. A project could also be based on writing a survey given results from a few papers. Students should have a solid background in math (e.g., elementary combinatorics, graph theory, discrete probability, basic algebra/calculus) and theoretical computer science (226 and 240 material, like big-O/Omega/Theta, basic complexity theory, basic fundamental algorithms). Mathematical maturity is a must.

A (non exhaustive) list of topics of projects I'm interested in:   * Explicit constructions of better vertex expanders and/or unique neighbor expanders.   * Construction deterministic or random high dimensional expanders.   * Pseudorandom generators for different problems.   * Topics around the quantum PCP conjecture.   * Topics around quantum error correcting codes and locally testable codes, including constructions, encoding and decoding algorithms.

 2. Theory informed practical implementations of algorithms   Very often the great advances in theoretical research are either not tested in practice or not even feasible to be implemented in practice. Thus, I am interested in any project that consists in trying to make theoretical ideas applicable in practice. This includes coming up with new algorithms that trade some theoretical guarantees for feasible implementation yet trying to retain the soul of the original idea; implementing new algorithms in a suitable programming language; and empirically testing practical implementations and comparing them with benchmarks / theoretical expectations. A project in this area doesn't have to be in my main areas of research, any theoretical result could be suitable for such a project.

Some examples of areas of interest:   * Streaming algorithms.   * Numeric linear algebra.   * Property testing.   * Parallel / Distributed algorithms.   * Online algorithms.    3. Machine learning with a theoretical foundation

I am interested in projects in machine learning that have some mathematical/theoretical, even if most of the project is applied. This includes topics like mathematical optimization, statistical learning, fairness and privacy.

One particular area I have been recently interested in is in the area of rating systems (e.g., Chess elo) and applications of this to experts problems.

Final Note: I am also willing to advise any project with any mathematical/theoretical component, even if it's not the main one; please reach out via email to chat about project ideas.

Iasonas Petras, Corwin Hall, Room 033

  • Research Areas: Information Based Complexity, Numerical Analysis, Quantum Computation.
  • Prerequisites: Reasonable mathematical maturity. In case of a project related to Quantum Computation a certain familiarity with quantum mechanics is required (related courses: ELE 396/PHY 208).
  • Possible research topics include:

1.   Quantum algorithms and circuits:

  • i. Design or simulation quantum circuits implementing quantum algorithms.
  • ii. Design of quantum algorithms solving/approximating continuous problems (such as Eigenvalue problems for Partial Differential Equations).

2.   Information Based Complexity:

  • i. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems in various settings (for example worst case or average case). 
  • ii. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria.
  • iii. Necessary and sufficient conditions for tractability of Weighted problems.
  • iv. Necessary and sufficient conditions for tractability of Weighted Problems under new tractability and error criteria.

3. Topics in Scientific Computation:

  • i. Randomness, Pseudorandomness, MC and QMC methods and their applications (Finance, etc)

Yuri Pritykin, 245 Carl Icahn Lab

  • Research interests: Computational biology; Cancer immunology; Regulation of gene expression; Functional genomics; Single-cell technologies.
  • Potential research projects: Development, implementation, assessment and/or application of algorithms for analysis, integration, interpretation and visualization of multi-dimensional data in molecular biology, particularly single-cell and spatial genomics data.

Benjamin Raphael, Room 309  

  • Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets
  • Implementation and application of algorithms to infer evolutionary processes in cancer
  • Identifying correlations between combinations of genomic mutations in human and cancer genomes
  • Design and implementation of algorithms for genome sequencing from new DNA sequencing technologies
  • Graph clustering and network anomaly detection, particularly using diffusion processes and methods from spectral graph theory

Vikram Ramaswamy, 035 Corwin Hall

  • Research areas: Interpretability of AI systems, Fairness in AI systems, Computer vision.
  • Constructing a new method to explain a model / create an interpretable by design model
  • Analyzing a current model / dataset to understand bias within the model/dataset
  • Proposing new fairness evaluations
  • Proposing new methods to train to improve fairness
  • Developing synthetic datasets for fairness / interpretability benchmarks
  • Understanding robustness of models

Ran Raz, Room 240

  • Research Area: Computational Complexity
  • Independent Research Topics: Computational Complexity, Information Theory, Quantum Computation, Theoretical Computer Science

Szymon Rusinkiewicz, Room 406

  • Research Areas: computer graphics; computer vision; 3D scanning; 3D printing; robotics; documentation and visualization of cultural heritage artifacts
  • Research ways of incorporating rotation invariance into computer visiontasks such as feature matching and classification
  • Investigate approaches to robust 3D scan matching
  • Model and compensate for imperfections in 3D printing
  • Given a collection of small mobile robots, apply control policies learned in simulation to the real robots.

Olga Russakovsky, Room 408

  • Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI
  • Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training)
  • Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes
  • Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. This includes both collecting an appropriate dataset using crowdsourcing on Amazon Mechanical Turk, creating a new deep learning formulation for this task, and running extensive analysis of both the data and the model

Sebastian Seung, Princeton Neuroscience Institute, Room 153

  • Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science
  • Gamification of neuroscience (EyeWire  2.0)
  • Semantic segmentation and object detection in brain images from microscopy
  • Computational analysis of brain structure and function
  • Neural network theories of brain function

Jaswinder Pal Singh, Room 324

  • Research Areas: Boundary of technology and business/applications; building and scaling technology companies with special focus at that boundary; parallel computing systems and applications: parallel and distributed applications and their implications for software and architectural design; system software and programming environments for multiprocessors.
  • Develop a startup company idea, and build a plan/prototype for it.
  • Explore tradeoffs at the boundary of technology/product and business/applications in a chosen area.
  • Study and develop methods to infer insights from data in different application areas, from science to search to finance to others. 
  • Design and implement a parallel application. Possible areas include graphics, compression, biology, among many others. Analyze performance bottlenecks using existing tools, and compare programming models/languages.
  • Design and implement a scalable distributed algorithm.

Mona Singh, Room 420

  • Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms.
  • Whole and cross-genome methods for predicting protein function and protein-protein interactions.
  • Analysis and prediction of biological networks.
  • Computational methods for inferring specific aspects of protein structure from protein sequence data.
  • Any other interesting project in computational molecular biology.

Robert Tarjan, 194 Nassau St., Room 308

  • Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms.
  • Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior.
  • Design and/or analyze various data structures and combinatorial algorithms.

Olga Troyanskaya, Room 320

  • Research Areas: Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinformatics.
  • Implement and evaluate one or more gene expression analysis algorithm.
  • Develop algorithms for assessment of performance of genomic analysis methods.
  • Develop, implement, and evaluate visualization tools for heterogeneous biological data.

David Walker, Room 211

  • Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security
  • Independent Research Topics:  Any other interesting project that involves humanitarian hacking, functional programming, domain-specific programming languages, type systems, compilers, software-defined networking, fault tolerance, language-based security, theorem proving, logic or logical frameworks.

Shengyi Wang, Postdoctoral Research Associate, Room 216

Available for Fall 2024 single-semester IW, only

  • Independent Research topics: Explore Escher-style tilings using (introductory) group theory and automata theory to produce beautiful pictures.

Kevin Wayne, Corwin Hall, Room 040

  • Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks.
  • Design and implement computer visualizations of algorithms or data structures.
  • Develop pedagogical tools or programming assignments for the computer science curriculum at Princeton and beyond.
  • Develop assessment infrastructure and assessments for MOOCs.

Matt Weinberg, 194 Nassau St., Room 222

  • Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}.
  • Theoretical questions related to COS 445 topics such as matching theory, voting theory, auction design, etc. 
  • Theoretical questions related to incentives in applications like Bitcoin, the Internet, health care, etc. In a little bit more detail: protocols for these systems are often designed assuming that users will follow them. But often, users will actually be strictly happier to deviate from the intended protocol. How should we reason about user behavior in these protocols? How should we design protocols in these settings?

Huacheng Yu, Room 310

  • data structures
  • streaming algorithms
  • design and analyze data structures / streaming algorithms
  • prove impossibility results (lower bounds)
  • implement and evaluate data structures / streaming algorithms

Ellen Zhong, Room 314

Opportunities outside the department.

We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science.  However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.)  To do a project with an adviser outside of computer science you must have permission of the department.  This can be accomplished by having a second co-adviser within the computer science department or by contacting the independent work supervisor about the project and having he or she sign the independent work proposal form.

Here is a list of professors outside the computer science department who are eager to work with computer science undergraduates.

Maria Apostolaki, Engineering Quadrangle, C330

  • Research areas: Computing & Networking, Data & Information Science, Security & Privacy

Branko Glisic, Engineering Quadrangle, Room E330

  • Documentation of historic structures
  • Cyber physical systems for structural health monitoring
  • Developing virtual and augmented reality applications for documenting structures
  • Applying machine learning techniques to generate 3D models from 2D plans of buildings
  •  Contact : Rebecca Napolitano, rkn2 (

Mihir Kshirsagar, Sherrerd Hall, Room 315

Center for Information Technology Policy.

  • Consumer protection
  • Content regulation
  • Competition law
  • Economic development
  • Surveillance and discrimination

Sharad Malik, Engineering Quadrangle, Room B224

Select a Senior Thesis Adviser for the 2020-21 Academic Year.

  • Design of reliable hardware systems
  • Verifying complex software and hardware systems

Prateek Mittal, Engineering Quadrangle, Room B236

  • Internet security and privacy 
  • Social Networks
  • Privacy technologies, anonymous communication
  • Network Science
  • Internet security and privacy: The insecurity of Internet protocols and services threatens the safety of our critical network infrastructure and billions of end users. How can we defend end users as well as our critical network infrastructure from attacks?
  • Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. How can we leverage social connections between users to design the next generation of communication systems?
  • Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. How can we protect the privacy of our online communications? The Tor project ( is a potential application of interest.

Ken Norman,  Psychology Dept, PNI 137

  • Research Areas: Memory, the brain and computation 
  • Lab:  Princeton Computational Memory Lab

Potential research topics

  • Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG) 
  • Neural network simulations of learning and memory

Caroline Savage

Office of Sustainability, Phone:(609)258-7513, Email: cs35 (

The  Campus as Lab  program supports students using the Princeton campus as a living laboratory to solve sustainability challenges. The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on its  website .

An example from Computer Science could include using  TigerEnergy , a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Three CS students used TigerEnergy to create a  live energy heatmap of campus .

Other potential projects include:

  • Apply game theory to sustainability challenges
  • Develop a tool to help visualize interactions between complex campus systems, e.g. energy and water use, transportation and storm water runoff, purchasing and waste, etc.
  • How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy?

Janet Vertesi, Sociology Dept, Wallace Hall, Room 122

  • Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing.
  • Possible projects: At the intersection of computer science and social science, my students have built mixed reality games, produced artistic and interactive installations, and studied mixed human-robot teams, among other projects.

David Wentzlaff, Engineering Quadrangle, Room 228

Computing, Operating Systems, Sustainable Computing.

  • Instrument Princeton's Green (HPCRC) data center
  • Investigate power utilization on an processor core implemented in an FPGA
  • Dismantle and document all of the components in modern electronics. Invent new ways to build computers that can be recycled easier.
  • Other topics in parallel computer architecture or operating systems


software engineering Recently Published Documents

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Identifying Non-Technical Skill Gaps in Software Engineering Education: What Experts Expect But Students Don’t Learn

As the importance of non-technical skills in the software engineering industry increases, the skill sets of graduates match less and less with industry expectations. A growing body of research exists that attempts to identify this skill gap. However, only few so far explicitly compare opinions of the industry with what is currently being taught in academia. By aggregating data from three previous works, we identify the three biggest non-technical skill gaps between industry and academia for the field of software engineering: devoting oneself to continuous learning , being creative by approaching a problem from different angles , and thinking in a solution-oriented way by favoring outcome over ego . Eight follow-up interviews were conducted to further explore how the industry perceives these skill gaps, yielding 26 sub-themes grouped into six bigger themes: stimulating continuous learning , stimulating creativity , creative techniques , addressing the gap in education , skill requirements in industry , and the industry selection process . With this work, we hope to inspire educators to give the necessary attention to the uncovered skills, further mitigating the gap between the industry and the academic world.

Opportunities and Challenges in Code Search Tools

Code search is a core software engineering task. Effective code search tools can help developers substantially improve their software development efficiency and effectiveness. In recent years, many code search studies have leveraged different techniques, such as deep learning and information retrieval approaches, to retrieve expected code from a large-scale codebase. However, there is a lack of a comprehensive comparative summary of existing code search approaches. To understand the research trends in existing code search studies, we systematically reviewed 81 relevant studies. We investigated the publication trends of code search studies, analyzed key components, such as codebase, query, and modeling technique used to build code search tools, and classified existing tools into focusing on supporting seven different search tasks. Based on our findings, we identified a set of outstanding challenges in existing studies and a research roadmap for future code search research.

Psychometrics in Behavioral Software Engineering: A Methodological Introduction with Guidelines

A meaningful and deep understanding of the human aspects of software engineering (SE) requires psychological constructs to be considered. Psychology theory can facilitate the systematic and sound development as well as the adoption of instruments (e.g., psychological tests, questionnaires) to assess these constructs. In particular, to ensure high quality, the psychometric properties of instruments need evaluation. In this article, we provide an introduction to psychometric theory for the evaluation of measurement instruments for SE researchers. We present guidelines that enable using existing instruments and developing new ones adequately. We conducted a comprehensive review of the psychology literature framed by the Standards for Educational and Psychological Testing. We detail activities used when operationalizing new psychological constructs, such as item pooling, item review, pilot testing, item analysis, factor analysis, statistical property of items, reliability, validity, and fairness in testing and test bias. We provide an openly available example of a psychometric evaluation based on our guideline. We hope to encourage a culture change in SE research towards the adoption of established methods from psychology. To improve the quality of behavioral research in SE, studies focusing on introducing, validating, and then using psychometric instruments need to be more common.

Towards an Anatomy of Software Craftsmanship

Context: The concept of software craftsmanship has early roots in computing, and in 2009, the Manifesto for Software Craftsmanship was formulated as a reaction to how the Agile methods were practiced and taught. But software craftsmanship has seldom been studied from a software engineering perspective. Objective: The objective of this article is to systematize an anatomy of software craftsmanship through literature studies and a longitudinal case study. Method: We performed a snowballing literature review based on an initial set of nine papers, resulting in 18 papers and 11 books. We also performed a case study following seven years of software development of a product for the financial market, eliciting qualitative, and quantitative results. We used thematic coding to synthesize the results into categories. Results: The resulting anatomy is centered around four themes, containing 17 principles and 47 hierarchical practices connected to the principles. We present the identified practices based on the experiences gathered from the case study, triangulating with the literature results. Conclusion: We provide our systematically derived anatomy of software craftsmanship with the goal of inspiring more research into the principles and practices of software craftsmanship and how these relate to other principles within software engineering in general.

On the Reproducibility and Replicability of Deep Learning in Software Engineering

Context: Deep learning (DL) techniques have gained significant popularity among software engineering (SE) researchers in recent years. This is because they can often solve many SE challenges without enormous manual feature engineering effort and complex domain knowledge. Objective: Although many DL studies have reported substantial advantages over other state-of-the-art models on effectiveness, they often ignore two factors: (1) reproducibility —whether the reported experimental results can be obtained by other researchers using authors’ artifacts (i.e., source code and datasets) with the same experimental setup; and (2) replicability —whether the reported experimental result can be obtained by other researchers using their re-implemented artifacts with a different experimental setup. We observed that DL studies commonly overlook these two factors and declare them as minor threats or leave them for future work. This is mainly due to high model complexity with many manually set parameters and the time-consuming optimization process, unlike classical supervised machine learning (ML) methods (e.g., random forest). This study aims to investigate the urgency and importance of reproducibility and replicability for DL studies on SE tasks. Method: In this study, we conducted a literature review on 147 DL studies recently published in 20 SE venues and 20 AI (Artificial Intelligence) venues to investigate these issues. We also re-ran four representative DL models in SE to investigate important factors that may strongly affect the reproducibility and replicability of a study. Results: Our statistics show the urgency of investigating these two factors in SE, where only 10.2% of the studies investigate any research question to show that their models can address at least one issue of replicability and/or reproducibility. More than 62.6% of the studies do not even share high-quality source code or complete data to support the reproducibility of their complex models. Meanwhile, our experimental results show the importance of reproducibility and replicability, where the reported performance of a DL model could not be reproduced for an unstable optimization process. Replicability could be substantially compromised if the model training is not convergent, or if performance is sensitive to the size of vocabulary and testing data. Conclusion: It is urgent for the SE community to provide a long-lasting link to a high-quality reproduction package, enhance DL-based solution stability and convergence, and avoid performance sensitivity on different sampled data.

Predictive Software Engineering: Transform Custom Software Development into Effective Business Solutions

The paper examines the principles of the Predictive Software Engineering (PSE) framework. The authors examine how PSE enables custom software development companies to offer transparent services and products while staying within the intended budget and a guaranteed budget. The paper will cover all 7 principles of PSE: (1) Meaningful Customer Care, (2) Transparent End-to-End Control, (3) Proven Productivity, (4) Efficient Distributed Teams, (5) Disciplined Agile Delivery Process, (6) Measurable Quality Management and Technical Debt Reduction, and (7) Sound Human Development.

Software—A New Open Access Journal on Software Engineering

Software (ISSN: 2674-113X) [...]

Improving bioinformatics software quality through incorporation of software engineering practices

Background Bioinformatics software is developed for collecting, analyzing, integrating, and interpreting life science datasets that are often enormous. Bioinformatics engineers often lack the software engineering skills necessary for developing robust, maintainable, reusable software. This study presents review and discussion of the findings and efforts made to improve the quality of bioinformatics software. Methodology A systematic review was conducted of related literature that identifies core software engineering concepts for improving bioinformatics software development: requirements gathering, documentation, testing, and integration. The findings are presented with the aim of illuminating trends within the research that could lead to viable solutions to the struggles faced by bioinformatics engineers when developing scientific software. Results The findings suggest that bioinformatics engineers could significantly benefit from the incorporation of software engineering principles into their development efforts. This leads to suggestion of both cultural changes within bioinformatics research communities as well as adoption of software engineering disciplines into the formal education of bioinformatics engineers. Open management of scientific bioinformatics development projects can result in improved software quality through collaboration amongst both bioinformatics engineers and software engineers. Conclusions While strides have been made both in identification and solution of issues of particular import to bioinformatics software development, there is still room for improvement in terms of shifts in both the formal education of bioinformatics engineers as well as the culture and approaches of managing scientific bioinformatics research and development efforts.

Inter-team communication in large-scale co-located software engineering: a case study

AbstractLarge-scale software engineering is a collaborative effort where teams need to communicate to develop software products. Managers face the challenge of how to organise work to facilitate necessary communication between teams and individuals. This includes a range of decisions from distributing work over teams located in multiple buildings and sites, through work processes and tools for coordinating work, to softer issues including ensuring well-functioning teams. In this case study, we focus on inter-team communication by considering geographical, cognitive and psychological distances between teams, and factors and strategies that can affect this communication. Data was collected for ten test teams within a large development organisation, in two main phases: (1) measuring cognitive and psychological distance between teams using interactive posters, and (2) five focus group sessions where the obtained distance measurements were discussed. We present ten factors and five strategies, and how these relate to inter-team communication. We see three types of arenas that facilitate inter-team communication, namely physical, virtual and organisational arenas. Our findings can support managers in assessing and improving communication within large development organisations. In addition, the findings can provide insights into factors that may explain the challenges of scaling development organisations, in particular agile organisations that place a large emphasis on direct communication over written documentation.

Aligning Software Engineering and Artificial Intelligence With Transdisciplinary

Study examined AI and SE transdisciplinarity to find ways of aligning them to enable development of AI-SE transdisciplinary theory. Literature review and analysis method was used. The findings are AI and SE transdisciplinarity is tacit with islands within and between them that can be linked to accelerate their transdisciplinary orientation by codification, internally developing and externally borrowing and adapting transdisciplinary theories. Lack of theory has been identified as the major barrier toward towards maturing the two disciplines as engineering disciplines. Creating AI and SE transdisciplinary theory would contribute to maturing AI and SE engineering disciplines.  Implications of study are transdisciplinary theory can support mode 2 and 3 AI and SE innovations; provide an alternative for maturing two disciplines as engineering disciplines. Study’s originality it’s first in SE, AI or their intersections.

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Latest Thesis and Research Topics in Software Engineering

Unique software engineering research topics for students.

more software engineers are needed as a result of the growing reliance on technology in both personal and professional spheres of life. Software engineering research topics are essential for solving complicated issues, increasing productivity, and fostering innovation. While software engineering is so important, it is equally difficult for students to get their degree in Software engineering.

Being said that many students struggle to keep up academically because software engineering is one of the most desired degrees. The final year thesis or dissertation is the most challenging assignment; many students are on the edge of losing their minds over it. While writing a thesis is one duty, coming up with an original and creative software engineering research topic is the first and most challenging step. Students with their assignments and activities don’t have enough time or energy to build a topic that is exactly right for them, finding a topic that is feasible and corresponds with your interests requires a lot of effort.

However this issue can be resolved as our PhD experts can provide you with well researched software engineering dissertation topics . We have plenty of topics for you to choose from mentioned below, and even if you don’t find anything according to your interests here you can simply contact us and request your topics according to your requirements and our experts will get you a tailored software engineering thesis topic.

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List of Free Software Engineering Research Topics

An analysis of the undertaking of good outcome factors and difficulties in software engineering projects:, how “the research guardian” can help you a lot.

Our top thesis writing experts are available 24/7 to assist you the right university projects. Whether its critical literature reviews to complete your PhD. or Master Levels thesis.

Automated software testing and quality control:

The study aims to improve programming testing and quality control through the execution of mechanized testing methods.


  • To efficiently detect software defeat and ensure complete test coverage, create an automated testing framework.
  • To determine which automated testing frameworks and tools are best suited to software development.
  • To analyze key metrics, and contrast them with the manual testing method to investigate the effects.

Impact of DevOps practices on software development:

The study aims to examine how DevOps practices affect software development productivity and efficiency.

  • To encourage cross-functional teams to collaborate, share information, and jointly advanced the development process.
  • To automate testing procedures like unit root tests, integration tests, and regression tests.
  • To change the activities for quality assurance and testing in the development process.

Get Help from Expert Thesis Writers! providing expert thesis assistance for university students at any sort of level. Our thesis writing service has been serving students since 2011.

Role of upgrading software security to enhance protection:

The aim of upgrading programming security through weakness identification and enhancing protection from possible breach

  • To find security flaws and weaknesses early on, employ, methods like vulnerability scanning, code reviews, and penetration testing.
  • To reduce the likelihood of being exploited, establish a procedure for resolving vulnerabilities as soon as possible.
  • To provide extensive security awareness and training programs, an organization can foster a security-conscious culture.

Adoption and effectiveness of continuous development:

The study aims to identify how effectively software engineering can be used for continuous development along with integration practices

  • To determine the benefit of implementing continuous deployment practices in numbers.
  • To evaluate the effect of computerizing the arrangement cycle, including code joining, testing, and delivery to the executive.
  • To analyze the impact of continuous integration practices on software development lifecycle enhancement.
  • To analyze how team communication and collaboration are affected by adopting software engineering practices and continuous development.

Looking For Customize Thesis Topics?

Take a review of different varieties of thesis topics and samples from our website on multiple subjects for every educational level.

Planning and assess client-driven approaches in software programming:

The study aims to plan and assess client driven approaches to programing necessities and designing.

  • To identify the beneficial client-driven approaches necessary for programming and designing.
  • To ensure the successful implementation of these approaches in an organization.
  • To investigate the outcomes of these approaches in the success or failure of an organization.

Analyzing software metrics and their applications:

The study aims to analyze software metrics and their application to predictive software quality assurance.

  • To evaluate a comprehensive set of software metrics that can shed light on software product quality.
  • To create predictive models that make use of the software metrics that have been identified to predict potential risk and quality issues.
  • To compare the predictions made by the predictive models to actual software quality outcomes.

Applying Block chain Innovation:

The study aims to investigate how the distinctive characteristics of Block chain technology can be used to enhance software development and deployment process

  • To assess the potential use cases and advantages of coordinating block chain innovation into the product advancement lifecycle.
  • To investigate the application of block chain for transparent deployment histories, and decentralized package management.
  • To influence block chain’s straightforwardness to work with reviewing and consistence process in programming advancement.

Investigation of augmented and Virtual Reality into Software Engineering Methods and Tools:

The study aims to deeply analyse the integration of Augmented and Virtual Reality into Software Engineering Methods and tools to enhance the efficiency

  • To measure the impact of the integration of AR and VR technologies on software engineering
  • To examine the practical and technical obstacles to incorporate to incorporating augmented reality and virtual reality into existing software engineering techniques and tools.
  • To analyze existing frameworks and solution that make it possible to integrate AR and VR Software.

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Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

IT & Computer Science Research Topics

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic. 

Overview: CompSci Research Topics

  • Algorithms & data structures
  • Artificial intelligence ( AI )
  • Computer networking
  • Database systems
  • Human-computer interaction
  • Information security (IS)
  • Software engineering
  • Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

  • An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
  • A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
  • An evaluation of machine learning algorithms used for recommender systems in streaming services
  • A review of approximation algorithm approaches for solving NP-hard problems
  • An analysis of parallel algorithms for high-performance computing of genomic data
  • The influence of data structures on optimal algorithm design and performance in Fintech
  • A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
  • A comparison of streaming algorithm performance for the detection of elephant flows
  • A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
  • Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
  • Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
  • A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
  • A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
  • Exploring the feasibility of applying information theory to feature extraction in retail datasets.
  • Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

  • Applying deep learning algorithms for speech recognition in speech-impaired children
  • A review of the impact of artificial intelligence on decision-making processes in stock valuation
  • An evaluation of reinforcement learning algorithms used in the production of video games
  • An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
  • An analysis of the ethical and social implications of artificial intelligence-based automated marking
  • The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
  • An examination of the use of artificial intelligence in orthopaedic surgery
  • The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
  • An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
  • A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Research topic idea mega list

Topics & Ideas: Networking

  • An analysis of the impact of 5G technology on internet penetration in rural Tanzania
  • Assessing the role of software-defined networking (SDN) in modern cloud-based computing
  • A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
  • Exploring the influence of cloud computing on security risks in fintech.
  • An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
  • Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
  • An evaluation of the challenges and opportunities in 6G wireless network adoption
  • The role of network congestion control algorithms in improving network performance on streaming platforms
  • An analysis of network coding-based approaches for data security
  • Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Free Webinar: How To Find A Dissertation Research Topic

Topics & Ideas: Database Systems

  • An analysis of big data management systems and technologies used in B2B marketing
  • The impact of NoSQL databases on data management and analysis in smart cities
  • An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
  • Exploring the role of data warehousing and business intelligence in global consultancies
  • An analysis of the use of graph databases for data modelling and analysis in recommendation systems
  • The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
  • An examination of the challenges and opportunities of distributed databases in supply chain management
  • Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
  • An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
  • Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

  • An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
  • An exploration of how artificial intelligence is changing human-computer interaction patterns in children
  • An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
  • Assessing the influence of virtual and augmented reality on consumer purchasing patterns
  • An examination of the use of gesture-based interfaces in architecture
  • Exploring the impact of ease of use in wearable technology on geriatric user
  • Evaluating the ramifications of gamification in the Metaverse
  • A systematic review of user experience (UX) design advances associated with Augmented Reality
  • A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
  • Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Research Topic Kickstarter - Need Help Finding A Research Topic?

Topics & Ideas: Information Security

  • A bibliometric review of current trends in cryptography for secure communication
  • An analysis of secure multi-party computation protocols and their applications in cloud-based computing
  • An investigation of the security of blockchain technology in patient health record tracking
  • A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
  • A systematic review of secure data storage solutions used for cloud computing in the fintech industry
  • An analysis of intrusion detection and prevention systems used in the healthcare sector
  • Assessing security best practices for IoT devices in political offices
  • An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
  • A comparative study of digital signature schemes adoption in property transfers
  • An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

  • A study of agile software development methodologies and their impact on project success in pharmacology
  • Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
  • A study of the impact of DevOps practices on software development and delivery in the healthcare sector
  • An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
  • A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
  • An investigation of software testing techniques and methodologies for subscription-based offerings
  • A review of software security practices and techniques for protecting against phishing attacks from social media
  • An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
  • Exploring the impact of software development outsourcing on project success in multinational contexts
  • An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

  • An array-based optimization framework for query processing and data analytics (Chen, 2021)
  • Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
  • Embedding constructural documentation in unit tests (Nassif, 2019)
  • PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
  • Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
  • Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
  • Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
  • Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
  • Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
  • Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
  • Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
  • A state-based approach to context modeling and computing (Yue, 2019)
  • A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
  • HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

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Research topics and ideas about data science and big data analytics

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

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I want to work with this topic, am requesting materials to guide.

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Information Technology -MSc program

Andrew Itodo

It’s really interesting but how can I have access to the materials to guide me through my work?

Sorie A. Turay

That’s my problem also.


Investigating the impacts of software refactoring techniques and tools in blockchain-based developments is in my favour. May i get the proper material about that ?



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Offered MSc Thesis topics

See also our current list of projects on the Research page to get an idea of what is topical in our research. Another list of all our projects is also available in Tuhat, with responsible persons listed (you can ask them about potential thesis topics).

A more exhaustive list of topics from the department is available at CSM Master thesis topics (moodle).

General writing Instructions

We have written some instructions to help the students write their Master's theses, seminar papers and B.Sc. theses. Please, read the guide before starting your thesis work: Scientific Writing – Guide of the Empirical Software Engineering Research Group .

Master's Thesis Topics

Software engineering and technology are prevalent areas for thesis at the department, and many candidates ask for thesis topics every academic year. We do our best to accommodate the requests, but the applicants can smoothen the process by taking an active role in thinking about potential topics based on the themes presented below.

We provide guidance for selecting a suitable topic and the supervision and support needed to complete the work. Please contact Antti-Pekka Tuovinen or Tomi Männistö if you are interested. You can also contact the group members to ask about the subject areas they are working on.

Suppose you, as a student, are working in software development, processes, architecture or something related. In that case, there is a good chance of finding an interesting thesis topic that closely relates to your work. In such a case, the actual work often provides an excellent problem to investigate, propose or try out potential solutions for, or the case can act as a rich source of data about the practice of software development.

We also welcome companies to suggest potential topics for Master's thesis. The topics can be general, based on existing research, or they may require original research and problem-solving. We will help to evaluate and fine-tune the proposals. Depending on the topic, you may also need to be prepared to provide guidance and assistance during the thesis project.

Please contact Antti-Pekka Tuovinen or Tomi Männistö if you have an idea for an industrial thesis and need further information.

The listing below introduces our current research areas and potential topics for the thesis. Each topic has a short description and the names of the researchers working on the topic. Please contact them for more details about the research and thesis work. Note that you can also suggest and discuss other topics within the general area of software engineering research. We encourage creativity and student-centred insight in selecting and defining the topic.

Earlier theses

Some earlier MSc thesis titles below give some idea about the topics. You can try looking up more info from E-thesis , but note that it is up to the author if the actual thesis pdf is available online. Just search using the title (or part of it) in quotation marks. You can also go to the library in person and read all theses (even those without a public pdf) on a kiosk workstation (ask the staff if you need help).

  • Exploring study paths and study success in undergraduate Computer Science studies
  • EU:n tietosuoja-asetuksen GDPR:n vaikutus suomalaisissa pk-yrityksissä 2018-2020
  • Industrial Surveys on Software Testing Practices: A Literature Review
  • Laskennallisesti raskaan simulointiohjelmistokomponentin korvaaminen reaaliaikasovelluksessa koneoppimismenetelmällä
  • Web service monitoring tool development
  • Case study: identifying developer oriented features and capabilities of API developer portals
  • Documenting software architecture design decisions in continuous software development – a multivocal literature review
  • Elinikäinen oppiminen ohjelmistotuotannon ammattilaisen keskeisenä
  • Miten huoltovarmuus toteutuu Ylen verkkouutisissa?
  • Utilizing Clustering to Create New Industrial Classifications of Finnish Businesses: Design Science Approach
  • Smoke Testing Display Viewer 5
  • Modernizing usability and development with microservices
  • On the affect of psychological safety, team leader’s behaviour and team’s gender diversity on software team performance: A literature review
  • Lean software development and remote working during COVID-19 - a case study
  • Julkaisusyklin tihentämisen odotukset, haasteet ja ratkaisut
  • Software Development in the Fintech Industry: A Literature Review
  • Design of an automated pipeline to improve the process of cross-platform mobile building and deployment
  • Haasteet toimijamallin käytössä ohjelmistokehityksessä, systemaattinen kirjallisuuskatsaus
  • Light-weight method for detecting API breakages in microservice architectures
  • Kirjallisuuskatsaus ja tapaustutkimus API-hallinnasta mikropalveluarkkitehtuurissa
  • In-depth comparison of BDD testing frameworks for Java
  • Itseohjautuvan auton moraalikoneen kehittämisen haasteet
  • Towards secure software development at Neste - a case study
  • Etuuspohjaisen eläkejärjestelyn laskennan optimointi vakuutustenhallintajärjestelmässä
  • Internal software startup within a university – producing industry-ready graduates
  • Applying global software development approaches to building high-performing software teams
  • Systemaattinen kirjallisuuskatsaus lääkinnällisistä ohjelmistoista ja ketterästä ohjelmistokehityksestä
  • Matalan kynnyksen ohjelmointialustan hyödyntäminen projektinhalinnassa
  • Uncertainty Estimation with Calibrated Confidence Scores
  • Tool for grouping test log failures using string similarity algorithms
  • Design, Implementation, and Validation of a Uniform Control Interface for Drawing Robots with ROS2
  • Assuring Model Documentation in Continuous Machine Learning System Development
  • Verkkopalvelun saavutettavuuden arviointi ja kehittäminen ohjelmistotuoteyrityksessä
  • Methods for API Governance automation: managing interfaces in a microservice system
  • Improving Web Performance by Optimizing Cascading Style Sheets (CSS): Literature Review and Empirical Findings
  • Implementing continuous delivery for legacy software
  • Using ISO/IEC 29110 to Improve Software Testing in an Agile VSE
  • An Open-Source and Portable MLOps Pipeline for Continuous Training and Continuous Deployment
  • System-level testing with microservice architecture
  • Green in software engineering: tools, methods and practices for reducing the environmental impacts of software use – a literature review
  • Machine Learning Monitoring and Maintenance: A Multivocal Literature Review
  • Green in Software Engineering: A Systematic Literature Review
  • Comparison of Two Open Source Feature Stores for Explainable Machine Learning
  • Open-source tools for automatic generation of game content
  • Verkkosovelluskehysten energiankulutus: vertaileva tutkimus Blazor WebAssembly ja JavaScript
  • Infrastruktuuri koodina -toimintatavan tehostaminen
  • Geospatial DBSCAN Hyperparameter Optimization with a Novel Genetic Algorithm Method
  • Hybrid mobile development using Ionic framework
  • Correlation of Unit Test Code Coverage with Software Quality
  • Factors affecting productivity of software development teams and individual developers: A systematic literature review
  • Case study: Performance of JavaScript on server side
  • Reducing complexity of microservices with API-Saga
  • Organizing software architecture work in a multi-team, multi-project, agile environment
  • Cloud-based visual programming BIM design workflow
  • IT SIAM toimintojen kehitysprojekti
  • PhyloStreamer: A cloud focused application for integrating phylogenetic command-line tools into graphical interfaces
  • Evaluation of WebView Rendering Performance in the Context of React Native
  • A Thematic Review of Preventing Bias in Iterative AI Software Development
  • Adopting Machine Learning Pipeline in Existing Environment

Current topic areas of interest to the research group (see below for the details)

Open source-related topic areas in collaboration with daimler truck.

  • Open Chain: Developing the Journey to Open Chain Compliance at the example of Daimler Truck
  • How should an industrial company (for example, Daimler Truck) leverage open source software: Building a framework with different dimensions, from efficient governance to value in inner source and open source projects
  • How can an organization efficiently incentivize inner-source activities? (on different levels, culture, infrastructure, governance, regulations & commitments.)
  • How can an industrial organization leverage value from actively engaging in FOSS activities (especially on active creation and contribution)
  • How can spillovers help Industrial companies to educate the rare resources but also attract and retain talent? Ref: Gandal, N., Naftaliev, P., & Stettner, U. (2017). Following the code: spillovers and knowledge transfer. Review of Network Economics , 16 (3), 243-267. Abstract: Knowledge spillovers in Open Source Software (OSS) can occur via two channels: In the first channel, programmers take knowledge and experience gained from one OSS project they work on and employ it in another OSS project they work on. In the second channel, programmers reuse software code by taking code from an OSS project and employing it in another. We develop a methodology to measure software reuse in a large OSS network at the micro level and show that projects that reuse code from other projects have higher success. We also demonstrate knowledge spillovers from projects connected via common programmers.

If interested, contact Tomi Männistö for further information

Hybrid software development (TOPIC AREA)

The current pandemic has brought many, even radical, changes to almost all software companies and software development organizations. Especially the sudden moves to working from home (WFH) in March 2020 forced them to adapt and even rethink many software engineering practices in order to continue productive software development under the new constraints.

Now (December 2021), various hybrid ways of working appear to become the new "normal" for the software industry in general. For instance, many companies are offering flexible workplace arrangements (WFX).

This thesis theme aims to explore and possibly explain such changes in contemporary software engineering. Potential research questions include the following:

  • How has the COVID-19 pandemic affected different software engineering activities (negatively or positively)? What are the mechanisms?
  • What adaptations and countermeasures have different software organizations devised to cope with the challenges?
  • What could be learned from them for future hybrid software development processes, practices and tools?

Contact: Petri Kettunen

MLOps -- as a derivative of DevOps -- is about practice and tools for ML-based systems that technically enable iterative software engineering practice. We have several funded positions in the area of MLOps in our research projects (IMLE4 and AIGA ) that can be tailored to the interest of the applicant. For details, contact Mikko Raatikainen ( [email protected] ).

Digital Twin of Yourself

Digital twins are virtual world dynamic models of real-world physical objects. They originate from manufacturing domains. In such environments, they are utilized, for example, for predictive maintenance of equipment based on real-time machine data.

Recently the application domains of digital twins have broadened to cover living objects – especially human beings, for instance, in medical domains (so-called Human Digital Twins). In this thesis topic, the objective is to design a digital twin of yourself. The choice of the digital twin dynamic model is free, and so are the data inputs. One possibility could be, for instance, your real-life physical exercise data (e.g., from a heart-rate monitor). You could also consider your Citizen Digital Twin, following your study data and yourself as a lifelong learner.

Software engineering and climate change (TOPIC AREA)

Global climate change may have various impacts on future software engineering on the one hand, and software engineering may affect climate change directly or indirectly, positively or negatively on the other hand. All that opens up many potentially important research problems. Specific theses in this topic area could be, for instance, the following themes:

  • Green IT (e.g., engineering new software with energy-efficiency requirements in order to reduce or limit power consumption and consequently the carbon footprint)
  • Carbon neutrality goals of software companies (e.g., software development organizations decreasing physical travelling in order to reduce their greenhouse gas emissions)
  • Developing software products or services for measuring climate change-related factors

The thesis could be a literature review, an empirical case study or a scientific design work.

Life-long learning for the modern software engineering profession

Specific intended learning outcomes for computer science (software engineering) graduates are life-long learning skills. Such skills and capabilities are essential in modern industrial software engineering environments. Workplace learning is a vital part of most professional software development jobs. What are the necessary life-long learning skills exactly? Why are those skills and capabilities essential in different software organizations? How can they be learned and improved? How do software professionals learn in their workplaces? What particular skills will be more critical in the future? Why? This topic could be investigated by case studies in real-life software organizations. The specific research questions could be some of the above or possibly focused on particular skills (e.g., assessing one's own and the works of other software developers). Contact: Petri Kettunen

Software development in non-ICT contexts (TOPIC AREA)

Software technology is increasingly applied in non-ICT domains and environments (e.g., healthcare, financial sector, telecommunications systems, industrial automation). Such conditions bring up many considerations for effective and efficient software engineering, such as: What are the key characteristics of different use domains (e.g., complexity, reliability)? What is the scope of the particular software system? How are the software requirements engineered? What are the specific constraints (e.g., regulations) in different domains to be considered in software engineering? How to measure the success of software projects and products? What software development methods (e.g., agile) are applicable in different domains? Why/why not? What particular software-related competencies are needed (e.g., digitalization, IoT, cyber-physical systems)? This research problem could be investigated theoretically (literature study) and empirically in industrial case studies. The actual research questions could be some of the above or formulated individually. Contact: Petri Kettunen

Creatively self-adaptive software architectures (TOPIC AREA)

We have recently started exciting research in the intersection between the research fields of self-adaptive software and computational creativity, intending to develop novel software architectures that can creatively adapt themselves in unforeseen situations. This initiative is a new research collaboration between the Discovery Group of Prof. Hannu Toivonen and ESE. There are different options for thesis work with either of the groups. To get a better idea of the topic, see Linkola et al. 2017. Aspects of Self-awareness: An Anatomy of Metacreative Systems.… Contact: Tomi Männistö

Continuous Experimentation (TOPIC AREA)

Software product and service companies need capabilities to evaluate their development decisions and customer and user value. Continuous experimentation, as an experiment-driven development approach, may reduce such development risks by iteratively testing product and service assumptions critical to the software's success. Experiment-driven development has been a crucial component of software development, especially in the last decade. Companies such as Microsoft, Facebook, Google, Amazon and many others often conduct experiments to base their development decisions on data collected from field usage.  Contact: Tomi Männistö

Digitalization and digital transformations: impacts on software engineering and systems development (TOPIC AREA)

Digitalization is nowadays cross-cutting and inherent in most areas of businesses and organizations. Software is increasingly built-in and ubiquitous. Such trends and developments bring up many potential software research problems, such as: What does digitalization entail in different contexts? How should digitalization be taken into account in software development processes? What is the role of customer/user involvement in software-intensive systems development (e.g., digital services)? What are the key quality attributes? What new software engineering skills and competencies may be needed? What is the role of software (and IT) in general in different digital transformations (e.g., vs business process development)? How is digitalization related to traditional software engineering and computer science disciplines in different contexts? What aspects of software development and digital technologies are fundamentally new or different from the past? This research problem could be investigated theoretically (literature study) or empirically in industrial case studies. The actual research questions could be some of the above or formulated individually. Contact: Petri Kettunen

High-performing software teams (TOPIC AREA)

How is (high) performance defined and measured in software development (e.g., productivity)? Which factors affect it - positively or negatively - and how strongly (e.g., development tools, team composition)? Can we "build" high-performing software teams systematically, or do they merely emerge under certain favourable conditions? What are suitable organizational designs and environments for hosting and supporting such teams? See this link and this link for more info. Contact: Petri Kettunen

Software innovation (TOPIC AREA)

How are innovation and creativity taken into account in software development processes and methods (e.g., Agile)? What role do customer/user input and feedback play in software(-intensive) product creation (e.g., open innovation)? How to define and measure 'innovativeness' in software development? What makes software development organizations (more) innovative? See here for more about the topic. How can Open Data Software help innovation? Contact: Petri Kettunen

Course Description

This course introduces students to research in the broad topics of software engineering (SE) and programming languages (PL) through reading , understanding , presenting and critiquing (high-quality) research papers in this general area.

There will not be a specific focus, but rather, we will cover a wide range of topics featuring latest/recent advances in the field.

During the first lecture (18.02.2020), we will explain the rules, distribute the research papers, and give a short lecture on research and technical presentations. Then, the class will not meet for the following two weeks to allow students time to prepare their presentations. The remaining lectures will consist of student presentations, each covering about one research paper assigned at the beginning of the course.

Course Goals

  • Learn how to read and understand a recent research paper in computer science
  • Learn how to present a technical topic in computer science to an audience of peers

Academic Integrity

Please avoid copy-pasting as much as possible. For any material (especially graphics and anything included by copy-pasting) not created by you but included in your presentation, you must acknowledge the source on the same slide .

  • How well you have understood the paper
  • How understandable that you have presented it
  • How effectively your slides communicated, including the visual quality of the slides
  • If you miss many classes, you will fail the course

How It Works

  • At the beginning of the course, each student will be assigned a research paper and presentation date (see schedule below)
  • Study the paper carefully
  • Obtain and study relevant background material, such as other cited papers; you may need to include some of this background material in your presentation
  • Possibly meet with the TA or instructor to ask questions
  • Try to follow the guidelines given in the first lecture
  • Clear motivation for the work
  • Provide brief necessary background when needed
  • Clear explanation what the paper does --- using appropriate examples, well-designed visuals, code examples, etc.
  • Do not trivialize the content, go deeper where necessary
  • Understandable (by your fellow students) presentation of the content and the results
  • Do not attempt to cover everything from the paper, focus on the key parts; be prepared to clarify/explain any technical terms used
  • Critical discussion of the claimed contributions at the end of the presentation, including the work/paper's strengths and weaknesses, as well as its limitations (best to include both those explicitly claimed/acknowledged in the paper and your own thoughts)
  • Strive for high visual quality
  • Properly acknowledge any external material (graphics and anything included by copy-pasting from other sources) on the same slide (bottom right, small font, gray is usually a good way)
  • If possible, try out the tool/code that comes with the paper, and consider giving a demo
  • Have one meeting with your advisor at least a week before your presentation for clarifications and feedback. Please remember to bring a draft of your presentation.
  • Presentations are 30 minutes + 15 minutes for questions
  • The presentation time will be enforced (as for real settings), but also avoid being overly short

Research Topics

Research in the Monmouth University Computer Science and Software Engineering Department falls into the following areas:

Artificial Intelligence

AI can be described as the study of systems that process data that are usually non-numeric, such as text and images, in such a way that we can extract patterns and information (meanings) from them. We use techniques in natural language processing, information retrieval, information extraction, machine translation, machine learning, data mining, cognitive science, and the semantic web, to name a few.

Associated faculty:

  • Richard Scherl

Biomedical Informatics

According to the American Medical Informatics Association, biomedical informatics is an emerging and interdisciplinary field that studies the effective uses of biomedical data, information, and knowledge to improve human health. Research in the department is focused on biomedical ontologies, which are controlled vocabularies of well-defined terms connected by relationships. Biomedical ontologies are developed to express data in ways that computers can understand the meanings, in order to facilitate biomedical data sharing and knowledge discovery, thus improving healthcare and biomedical research.

Data Analytics

Nowadays, huge amounts of digital data are generated in many domains (social networks, urban environments, scientific fields, business domains) and their volumes are growing faster than ever before. According to several studies, by the year 2020 about 1.7 MegaBytes of new information will be created every second for every human being on the planet. Such huge volume of data (i.e., Big Data) can be analyzed and exploited by data analytics algorithms to discover hidden and valuable information (i.e., predictive and descriptive models, patterns, regularities) concerning human dynamics and behaviors, and leading to useful applications in both business and scientific fields.

  • Jiacun Wang
  • Daniela Rosca

In computer science, the theories and methods that relate to the storage and retrieval of large collections of data continues to be a fertile area of research. Database research in the department is focused in the areas of database management and information retrieval.

Emergency Management

Emergency management is a process by which all individuals, groups, and communities manage hazards in an effort to avoid or ameliorate the impact of disasters resulting from the hazards. It involves four phases: mitigation, preparedness, response, and recovery. Mitigation efforts attempt to prevent hazards from developing into disasters altogether, or to reduce the effects of disasters when they occur. In the preparedness phase, emergency managers develop plans of action for when the disaster strikes, and analyze and manage required resources. The response phase executes the action plans, which includes the mobilization of the necessary emergency services and dispatch of first responders and other material resources in the disaster area. The aim of the recovery phase is to restore the affected area to its previous state. Effective emergency management relies on thorough integration of emergency plans at all levels of government and non-government involvement.

Formal Methods

A formal method is a mathematic method that uses formal language in the specification, design, construction, and verification of computer systems and software. Formal languages include logic, Petri nets, finite state machines, statecharts, and so on. The development of a formal specification provides insights and an understanding of the software requirements and software design. Since software specifications are mathematical entities and may be analyzed using mathematical methods.

The area of computer science that focuses on the study of multiple computer systems that are connected together using a telecommunication system for data and resource sharing and communication. Networks research in the department is focused in the areas of wireless communications , telecommunications , network security , and network algorithms .

Workflow Management

Workflow management deals with the automation of business processes through software. A workflow management system coordinates process instances according to a formal model of the process, and matches individual activities with properly qualified resources for execution. The business environment today is undergoing rapid and constant changes. The way companies do business, including the business processes and their underlying business rules, should adapt to these changes flexibly with minimum interruption to ongoing operations.

  • Google Meet
  • Mobile Dialer

research topics for software engineering students

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research topics for software engineering students

150 Best Research Paper Topics For Software Engineering

Software Engineering is a branch which deals with the creation and improvement of software applications using specific methodologies and clearly defined scientific principles. When developing software products, certain procedures must be followed, the outcome of which is a reliable and reliable software product. Software is a collection of executable code for programs with associated libraries. Software that is designed to meet certain requirements is referred to as a Software Product . This is an excellent subject for a master's thesis, research, or project. There are a variety of topics within Software Engineering which will be useful to M.Tech and other students studying for their masters to write their software thesis.

What is the reason Software Engineering is required?

Software Engineering is necessary due to the frequent shifts in the requirements of users as well as the environment. Through yourch and thesis, you will learn more about the significance of Software Engineering. Here are some other areas in software engineering that are needed:

  • Big Software: The massive dimension of software makes it necessary for the requirements in software engineering .
  • Scalability The concept of scaling Software Engineering makes it possible to increase the size of existing software rather than develop brand-new software.
  • Cost Price Software Engineering also cuts down the manufacturing cost that is incurred during software development.
  • The dynamic nature of Software - Software Engineering is a crucial factor when the need for new features is to be made in software in place, in the event that the nature of software is fluid.
  • Better Quality Management - Software Engineering can provide more efficient software development processes to provide superior-high-quality services .

Best Research Paper Topics on Software

  • Software Engineering Management Unified Software Development Process and Extreme ProgrammingThere are a lot of difficulties with managing the development of software for web-based applications and projects for systems integration that were completed in recent times.
  • The Blue Sky Software Consulting Company Analysis
  • Blue Sky Software Consulting Blue Sky Software Consulting company has seen great success over 15 years. The company is not as well-equipped for the current market.
  • LabVIEW Software: Design Systems of Measurement
  • LabVIEW is a software program that was created to design systems for measurement. LabVIEW gives you a range of instruments to control the process in an experiment.
  • Software-producing Firm Reducing Inventory
  • The link between the reduction in inventory levels and the number of orders is evident. An organization that produces software may think of increasing the amount of software to a lower level.
  • Moet Hennessy - Louis Vuitton: Enterprise Software
  • The report will demonstrate how the introduction of ERP will help LVHM Group improve its results by improving its inventories, logistics and accounting.
  • Virtualization and Software-Defined Networking
  • The goal of this paper is to analyze the developments in the field of virtualization, software-defined networks and security for networks in the last three years.
  • Computer Hardware and Software Components
  • Computers that were developed at the time of the 40s of 1940 have evolved into complex machines that require software and hardware for their operation.
  • Applications, Software and System Development
  • The usage the Microsoft Office applications greatly enhance productivity in the classroom as well as at work and during everyday activities at home.
  • PeopleSoft Inc.'s Software Architecture and Design
  • With the PIA architecture, any company with an ERP application can access all of its operations through a Web browser.
  • Co-operative Banking Group's Enterprise Software
  • The report demonstrates how the implementation of the ERP system within the Co-operative Banking Group will help in improving the company's accounting, inventory and accounting practices as well as logistics processes.
  • Software Testing: Manual and Automated Web-Application Testing Tools
  • This research is an empirical study of automated and manual web-based application testing tools to determine the best tool for testing software.
  • JDA Software Company's Services
  • JDA Software is a company that has proven its worth in the development of services in areas like manufacturing, wholesale distribution, retailing and travel.
  • Data Management, Networking and Enterprise Software
  • Enterprise software is typically developed "in-house" and thus has an inflated cost when contrasted to purchasing the software from another firm.
  • Software Workshops and Seminars Reflections
  • Most seminars inspire participants to use their potential as they strive to attain their goals.
  • The Various Enterprise Resource Planning Software Packages
  • This paper's purpose is to provide an overview of the various Enterprise Resource Planning (ERP) software applications that are widely employed by companies to manage their business operations.
  • Explore Factors in IBM SPSS Statistical Software
  • The "Explore" or "Explore" command in IBM SPSS generates an output with a variety of stats for a single variable, across the entire sample or in sections of the sample.
  • Split Variables in IBM SPSS Statistical Software
  • It is the IBM SPSS software provides an option to split files into groups. The members of cases within groups can be determined by the values of split variables in this particular instance.
  • Syntax Code Writing in Statistical Software
  • The process of analyzing quantitative data by using IBM SPSS software package IBM SPSS software package often involves performing a variety of operations to calculate the statistical data for the information.
  • Data Coding in Statistical Software
  • Data coding is of utmost importance when a proper analysis of this data has to be conducted. Data coding plays an important function when you need to make use of statistical software.
  • Software Piracy at Kaspersky Cybersecurity Company
  • Software piracy is a pressing current issue that is manifested both locally with respect to an individual company and also globally.
  • Hotjar: Web Analytics Software Difference
  • This report examines Hotjar, which is a web-based analytics tool that comes with a full set of tools to evaluate. This paper examines its strengths and advantages, as well showing how it can aid in the management of decision-making.
  • Avast Software: Company Analysis
  • Avast Software is a globally well-known multinational company that is an industry leader in providing security solutions for both business and individual customers.
  • Project Failure, Project Planning Fundamentals, and Software Tools and Techniques for Alternative Scheduling
  • From lack of communication to generally unfavourable working conditions, Projects may fail when managers fail to prepare for their implementation.
  • Computer Elements such as Hardware and Software
  • Personal computers are usually different from computers used for business in terms of capabilities and the extent of technology used within the equipment.
  • Review of a New Framework for Software Reliability Measurement
  • This study draws upon the in-depth study of the software reliability measurement methods and the suggestion of a fresh foundation for reliability measurement built on the software metrics studied in the work of Amar as well as Rabai.

Good Software Research Topics & Essay Examples

  • Task Management Software in Organization
  • The goal of the plan for managing projects is to present the process of creating task management software that can be integrated into the context of the company.
  • A task management software plan's risk management strategy
  • The present study introduces us to the techniques for risk identification as well as quality assurance and a control plan and explains their significance.
  • Computer Software Development and Reality Shows
  • The growth of software in computers has been at such a fast rate over the last 10 years that it has impacted all aspects of our lives and every fibre of our being.
  • Scrum - Software Development Process
  • Digital systems and computerized systems have brought life to many areas. Scrum is a process for software development that guarantees high quality and efficiency.
  • Distribution of Anti-Virus Software
  • Numerous new threats are reported every fortnight. Cyberattacks, viruses, and other cyber-related threats are becoming an issue.
  • Marketing Plan: Innovative Type of Software Product
  • This paper will create an advertisement plan for the new kind of software, which will help to define the segment of clients and the price and communications platform.
  • Marketing System of Sakhr Software Co
  • The principal objective of this paper is to examine the marketing process in the same type of organization, like Sakhr Software Co.
  • Managing Information of Sakhr Software Co
  • This paper will examine the ideas of managing information for Sakhr Software, which is a well-known language software firm.
  • CRM Software in Amazon: Gains
  • The software for managing customers that developed is, from the beginning, one of the latest technology.
  • Neurofeedback Software and Technology Comparison
  • MIDI technology helps make the making of, learning or playing more enjoyable. Mobile phones and computer keyboards for music, computers etc., utilize MIDI.
  • PeopleSoft Software and Enterprise Software
  • With the help of HRIS software, HR employees are able to manage their own benefits updates and make changes, allowing them to take more time to focus on other important tasks.
  • Business Applications: Revelation HelpDesk by Yellow Fish Software
  • "Revelation HelpDesk" is an online Tracking and Support Software that facilitates seamless coordination to occur between the most important divisions within an organization.
  • 3D signal editing methods and editing software for stereoscopic movies
  • 3D editing for movies is one of the newest trends and is among the most complex processes in the modern film industry.
  • ERP Software in Inventory Management
  • Management of inventory ERP applications will be useful when a business has to manage the manner in which it gets goods and cleans up the merchandise.
  • The Capabilities of Compiere Software and How Well It Fits Into Different Industries
  • It is the ERP software Compiere can be used by a wide variety of users, including governments, businesses as well as non-governmental organizations (NGOs).
  • Software Tools for Qualitative Research
  • This paper reviews software tools to solve complicated tasks in the analysis of data. The paper compares NVivo, HyperRESEARCH, and Dedoose.
  • Data Scientist and Software Development
  • Data scientists convert data into insights, giving elaborate guidance to those who use the data to make educated decisions and take action.
  • IPR Violations in Software Development
  • The copyright law protects only the declaration but not the software concept. It prohibits copying code from the source without asking permission.
  • Health IT: Epic Software Analysis
  • Implementation and adoption of Health IT systems are crucial to improve the efficiency of medical practices, efficiency of workflow as well as patient outcomes.
  • Agile Software Development Process
  • The agile process for software development offers numerous benefits, such as the speedy and continuous execution of your project.
  • Project Management Software and Tools Comparison
  • The software is used by managers to ensure that there isn't any worker who is receiving more work than others and also to ensure that no worker is falling behind in their job.
  • Visually impaired people: challenges in Assistive Technology Software
  • Blind people suffer from a number of disadvantages each day while using digital technology. The various types of software and software discussed in this paper have been specifically designed to help improve the lives of blind people.
  • WBS completion and software project management
  • The PERT's results resulted in the development of The Gantt chart. This essay provides an account of the method of working with the Gantt chart.
  • International Software Development's Ethical Challenges: User-Useful Software
  • The importance of ethics is when it comes to software development. It helps the creator to create software that will be useful for the user as well as the management.
  • Achieving the Optimal Process. Software Development
  • The industry of software development is growing rapidly as the requirements of users change. This requires applications to meet these needs.

Innovative Software to Blog About

  • System Software: Analysis of Various Types of System Software
  • The paper provides opinions on the various system softwares using their strengths and weaknesses from the personal experiences of the creator.
  • Sakhr Software Co.'s Marketing System
  • The principal goal of this paper is to study the uniqueness of the system of marketing in such an organization as Sakhr Software Co from Kuwait, which specializes in NLP.
  • Program Code in Assembly Language Using Easy68K Software
  • A typical scenario is described in the report to write program code in assembly language with Easy68K software. The appropriate tests were carried out with success and outputs.
  • Benefits and Drawbacks of Agile Software Development Techniques
  • The use of agile methodologies in the software development process contributes to the improvement of work as well as the effectiveness of performance.
  • The use of agile methodologies in the development of software contributes to the efficiency of work and efficiency of performance.
  • Large Scale Software Development
  • This report gives information on this Resource Scheduling project. It can be useful to an advisory firm that offers various types of resources.
  • Penguin Sleuth, a Forensic Software Tool
  • The primary goal of this paper is to examine the various tools for forensic analysis and also provide a comprehensive overview of the functions available for each tool or tool pack.
  • System Software: Computer System Management
  • Computer software comprises precise preprogrammed instructions that regulate and coordinate hardware components of the computer.
  • Ethical Issues Involved in Software Project Management
  • Ethics within IT have been proven to be very different from other areas of ethics. Ethics issues in IT are usually described as having little.
  • Advantages and Disadvantages of Software Suites
  • Computer software comprises specific preprogrammed commands that control and coordinate computer hardware components of an info system.
  • Descriptive Statistics Using SPSS Software Suite
  • This paper focuses on the process of producing the descriptive statistical analysis by using SPSS. The purpose of this article is to make use of SPSS to perform an analysis of descriptive data.
  • Software Development: Creating a Prototype
  • The aim of this article is to develop an experimental software program that can be utilized to aid breast cancer patients.
  • Software Engineering and Methodologies
  • The paper explains how the author learned the software engineering process and methods as an outcome of his experiences at BTR IT Consulting Company.
  • Information System Hardware and Software
  • Information technology covers a wide variety of applications in which computer software, along with hardware, is employed.
  • Software Development Project Using Agile Methods
  • The report will provide reasons behind why the agile methodology was chosen, the method used, how the team applied this methodology, and also the lessons learned from the massive project of software development.
  • Flight Planning Software and Aircraft Incidents
  • Software for flight planning refers to programs utilized to control and manage flights and other procedures while the plane is in flight.
  • Hardware and Software Systems and Criminal Justice
  • One of the primary techniques used to decrease the chance of criminal activity is crime mapping. This involves collecting information on crimes and their causes and then analyzing it in order to identify issues.
  • Why Open-Source Software Will (Or Will Not) Soon Dominate the Field of Database Management Tools
  • The research aims to determine whether open-source software will rule the field of the database since there is an evolution in the market for business.
  • Business HRM Software and the Affordable Care Act
  • The Affordable Care Act has its strengths but also flaws. The reason is the complex nature of the law that creates a variety of challenges.
  • Antivirus Software Ensuring Security Online
  • Although it's not perfect and fragmentary, it can be seen as a supplement and not the sole instrument; antivirus software will help protect one's privacy online.
  • Evaluating Teaching Instructional Software for 21st-Century Technology Resources
  • The software for teaching Joe Rock and Friends Book 2 is designed for third-grade students who are studying English as an additional language to read and learn new vocabulary.
  • Britam Insurance Company's Sales and Marketing Management Software
  • Britam Insurance Company needs to implement the latest marketing and management software in order to keep its place at the forefront of the extremely competitive insurance market.
  • Software Programs: Adobe Illustrator
  • With Adobe Illustrator, users can quickly and precisely create various products, like logos, icons as well as drawings.
  • Strawberry Business: Software Project Management
  • Although the company has an established management strategy as well as a team of employees and efficient information systems, it lacks a standardized workplace culture and customer relations systems.
  • Value of Salesforce Software Using VRIO Model
  • Salesforce CRM software is created to help managers manage their businesses effectively. It connects all teams and managers and collects and manages customer information.
  • Agile software development, as well as popular variations like Scrum, are the foundation for the work of a variety of testers and developers. No matter what team or method you're currently using, you can get expert guidance on process structure and the skills required to use Lean, Agile, DevOps, Waterfall and more to help you implement it for your business.

Most Interesting Software Research Titles

  • What Are the Essential Attributes of Good Software?
  • How Computer Software Can Be Used as a Tool for Education
  • Accounting Software and Application Software
  • Online National Polling Software Requirements Specification
  • Building Their Software for a Company's Success
  • The Role of Antivirus Software in Protecting Your Computer Data
  • Intellectual Property Rights, Innovation and Software Technologies
  • Software Piracy and the Canadian Piracy Act
  • For the development of software projects, agile methodologies and their Waterscrumfall derivative are used.
  • Software Tools for Improving Underground Mine Access Layouts
  • How Software Can Support Academic Librarians' Changing Role
  • Using the Untangle Software to Overcome Obstacles for Small Businesses
  • By employing travel portal software, online booking sales will increase.
  • Analysis of Network Externality and Commercial Software Piracy
  • Accounting Software and Business Solutions
  • Analysis of Key Issues and Effects Relating to International Software Piracy
  • The Distinction Between Computer Science and Software Engineering
  • Modulation: Computer Software and Unknown Music Virus
  • Math Software for High School Students with Disabilities
  • Keyboarding Software Packages: Analysis and Purchase Recommended
  • Basic Software Development Life Cycle
  • India's Problems with Software Patents, Copyright, and Piracy
  • Why Has India Been Able to Build a Thriving Software Industry
  • Does Social Software Increase Labour Productivity
  • The Role of Open Source Software for Database Servers

Simple Software Essay Ideas

  • Human Capital and the Indian Software Industry
  • Input-Output Computer Windows Software
  • Business Software Development and Its Implementation
  • Evaluating Financial Management Software: Quicken Software
  • Which governance tools are important in Africa for combating software piracy?
  • Distinguish Between Proprietary Software and Off-The-Shelf
  • Does Social Software Support Service Innovation
  • Ambulatory Revenue Management Software
  • Difference Between Operating Systems and Application Software
  • Leading a Global Insurgency in the Software Sector are China and India
  • Call Accounting Software for Every Enterprise
  • Technology Standards for Software Outsourcing
  • The Importance of the Agile Approach for Software Development
  • Application Software: Publisher, Word, and Excel
  • Employee Monitoring Through Computer Software
  • Software Development Lifecycle and Testing's Importance
  • Tools for Global Conditional Policy to Combat Software Piracy
  • Software for Designing Solar Water Heating Systems
  • Open Source Software, Competition, and Potential Entry
  • Indian Software Industry: Gains are distorted and consolidated
  • Software Programs for Disabled Computer Users and Assistive Technology
  • Agile Software Architecture, Written by Christine Miyachi
  • Software Development: The Disadvantages of Agile Methods
  • Computer Software Technology for Early Childhood
  • Developing Test Automation Software Development

Easy Software Essay Topics

  • Growth Trends, Barriers, and Government Initiatives in the Indian Software Industry
  • How Does Enterprise Software Enable a Business to Use
  • Integrated Management Software the Processing of Information
  • Computer Software Training for Doctor's Office
  • Software Intellectual Property Rights and Venture Capitalist Access
  • Computer Science Software Specification
  • Software Projects and Student Software Risk Exposure
  • Why It Is Difficult to Create Software for Wireless Devices
  • Affiliate Tracking Software Your Payment Options
  • How Can Volkswagen Recover From the Cheating Issues It Had Because Illegal Software Was Installed?
  • Principles of Best Forensic Software Tool
  • The American Software Industry: A Historical Analysis
  • How Peripheral Developers Contribute to the Development of Open-Source Software
  • Agile Methodologies for Software Development
  • Key Macroeconomic Factors That Affect Software Industry
  • The Software Industry and India's Economic Development
  • Improving Customer Service Through Help Desk Software
  • Enterprise Resource Planning and Sap Software
  • Antivirus Software and Its Importance
  • Hardware and Software Used in Public Bank
  • The Effects of Computer Software Piracy on the Global Economy
  • Using the Winqsb Software in Critical Path Analysis
  • General Information About Interactive Multimedia-Based Educational Software
  • How Affiliate Tracking Software Can Benefit You
  • Computer Software and Recent Technologies

Frequently asked questions

What are the main topics of software engineering .

software development.

  • Introduction
  • Models and architecture for software development
  • Project management for software (SPM)
  • Software prerequisites
  • Testing and debugging software

What makes good research in software engineering ?

The most typical research strategy in software engineering is coming up with a novel method or methodology, validating it through analysis, or demonstrating its application through a case study;

What projects are good for software engineering ?

  • monitoring of Android tasks.
  • Analyzing attitudes to rate products
  • ATM with a fingerprint-based method.
  • a modern system for managing employees.
  • Using the AES technique for image encryption.
  • vote-by-fingerprint technology.
  • system for predicting the weather

What are the research methods in software engineering ?

We list and contrast the five categories of research methodology that, in our opinion, are most pertinent to software engineering: controlled experiments (including quasi-experiments); case studies (both exploratory and confirmatory); survey research; ethnographies; action research; and controlled experiments.

Is software engineering a research area ?

A relatively recent area of research, software engineering is derived from computer science. Its significance has been generally acknowledged by more and more academics in the field of computers throughout the course of six decades, from 1948 to the present, and it has developed into a vibrant and promising division of the computing profession.

Is software engineering easy ?

Yes, learning software engineering can be challenging at first, especially for those without programming or coding experience or any background in technology. However, numerous courses, tools, and other resources are available to assist with learning how to become a software engineer.

Who is the father of software engineering ?

The "father of software quality," Watts S. Humphrey, was an American software engineering pioneer who lived in Battle Creek, Michigan (U.S.) from July 4, 1927, to October 28, 2010.

What do you do in software engineering ?

  • roles and tasks for software engineers
  • creating and keeping up software systems.
  • testing and evaluating new software applications.
  • software speed and scalability optimization.
  • code creation and testing.
  • consulting with stakeholders such as clients, engineers, security experts, and others.

Which is better it or software engineering ?

IT support engineers cannot build sophisticated solutions, while software engineers can. In a word, they are in charge of creating and putting into use software. Knowing the distinctions makes it easier to choose the right individual to handle our tech-related problems.

Are junior software engineers in demand ?

Yes, there is a need for young coders.

Is software engineering going down ?

Software experts and software goods are oversaturating the job market for software engineers.

What degree do I need to be a software engineer ?

undergraduate degree

Can I be a software engineer without a degree ?

Many software developers lack a degree from a reputable university (or, in some circumstances, none at all).

How many years can a software engineer work ?

An engineer who wants to work in IT has a 15–20 year window.

How many hours do software engineers work ?

Software developers put in 8 to 9 hours each day, or 40 to 45 hours per week.

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Book cover

  • © 2022

Software Engineering Research, Management and Applications

  • Roger Lee 0

ACIS Headquarters, Mount Pleasant, USA

You can also search for this editor in PubMed   Google Scholar

  • Presents recent research in Software Engineering, Management, and Applications
  • Is edited outcome of the 20th IEEE/ACIS SERA 2021 conference held May 25-27, 2022, Las Vegas, USA
  • Written by experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 1053)

Conference series link(s): SERA: International Conference on Software Engineering Research and Applications

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Conference proceedings info: SERA 2022.

  • Table of contents

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Table of contents (12 chapters)

Front matter, examining the factors that influence customers’ intention to use smartwatches in malaysia using utaut2 model.

  • Norazryana Mat Dawi, Ha Jin Hwang, Ahmad Jusoh, Haeng Kon Kim

Generating Adversarial Robust Defensive CAPTCHA (GARD-CAPTCHA) in Convolutional Neural Networks

  • Pu Tian, Weixian Liao, Turhan Kimbrough, Erik Blasch, Wei Yu

A Deep Learning Approach for Lantana Camara Weed Detection and Localization in the Natural Environment

  • Wie Kiang Hi, Santoso Wibowo

Modeling Concretizations in Software Design

  • Alexey Tazin, Shan Lu, Yanji Chen, Mieczyslaw M. Kokar, Jeff Smith

A Practical Style Guide and Templates Repository for Writing Effective Use Cases

  • Bingyang Wei, Lin Deng, Yi Wang

Label Correction of Sound Data with Label Noise Using Self Organizing Map

  • Pildong Hwang, Yanggon Kim

Evaluation Method of Enterprise Cybersecurity

  • Meng Zhang, Yue Zhou, Che Li, Shuang Li, Jianhua Wu, Chao Yan

A Multi-model Multi-task Learning System for Hurricane Genesis Prediction

  • Martin Pineda, Qianlong Wang, Weixian Liao, Michael McGuire, Wei Yu

Development of Autonomous Driving Adaptive Simulation System Using Deep Learning Process Model

  • Symphorien Karl Yoki Donzia, Haeng-Kon Kim

An OCL Implementation for Model-Driven Engineering of C++

  • R. Maschotta, N. Silatsa, T. Jungebloud, M. Hammer, A. Zimmermann

Improving Students’ Readiness Toward the Labor Market Through Customized Learning

  • Majed Almotairi, Hamdan Ziyad Alabsi, Yahya Alqahtani, Mohammed Abdulkareem Alyami, Majed M. Aljazaeri, Yeong-Tae Song

Assessing Software Fault Risk with Machine Learning

  • Naveen Ashish, Greg Barish, Steven Minton

Back Matter

This edited book presents scientific results of the 20th IEEE/ACIS International Conference on Software Engineering Research, Management, and Applications (SERA2022) held on May 25, 2022, in Las Vegas, USA. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.

The conference organizers selected the best papers from those papers accepted for presentation at the conference.  The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review.From this second round of review, 12 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.

  • Computational Intelligence
  • Software Engineering
  • Software Management

Book Title : Software Engineering Research, Management and Applications

Editors : Roger Lee

Series Title : Studies in Computational Intelligence


Publisher : Springer Cham

eBook Packages : Intelligent Technologies and Robotics , Intelligent Technologies and Robotics (R0)

Copyright Information : The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

Hardcover ISBN : 978-3-031-09144-5 Published: 22 September 2022

Softcover ISBN : 978-3-031-09147-6 Published: 22 September 2023

eBook ISBN : 978-3-031-09145-2 Published: 21 September 2022

Series ISSN : 1860-949X

Series E-ISSN : 1860-9503

Edition Number : 1

Number of Pages : XIII, 204

Number of Illustrations : 20 b/w illustrations, 54 illustrations in colour

Topics : Computational Intelligence , Software Engineering/Programming and Operating Systems , Artificial Intelligence

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Research Topics in Software Engineering

Postgraduate course, course description, objectives and content.

The course covers advanced theoretical and technical issues of software engineering. It will focus on some selected topics, such as software requirements, software design, software construction, software testing and management, software configuration management, software engineering management, software engineering process, software engineering tools and methods, and software quality. Each seminar is focused around one major topic.

The students shall acquire advanced theoretical knowledge and technical competences about the topics covered in the course as well as some research methods that are relevant for these topics. After the course the students shall be able to perform research projects within related topics in software development and shall be able to take advantage of this knowledge in design, development and evaluation of complex systems.

Learning Outcomes

A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:

The candidate

  • knows central concepts and principles within selected software engineering topics.
  • knows current research within the selected software engineering topics.
  • can apply software engineering concepts and principles in a concrete software project working in teams, as well as how software tools and techniques that are currently used within the field of study.
  • can identify relevant research literature for the selected software engineering topics
  • can select a sensible set of tools and techniques to start a software project that involves a group of people.
  • can work in a software team of a realistic size using partly unfamiliar technology and tools and in using state-of-the-art technologies used in the IT industry today.

Semester of Instruction

Compulsory participation: Attendance at 80 % of course sessions is compulsory.

Compulsory requirements are only valid the semester they are approved.

Group software project, portfolio assessment (30%):

  • Development of the software (programming assignment).
  • Presentation of progress and results in class during and after the development. Assessment includes quality of the final software, as well as the development process, efforts, progress and learning of the groups.
  • Group term paper related to the software project (20%).
  • Oral exam, individual (50%).

The exam assignment will be given in the language of instruction in the course. The exam answer must be submitted in the same language as the exam assignment.

Assessment in teaching semester.

Students with valid absence as defined in the UiB regulations § 5-5 can apply for an extended submission deadline to [email protected]. The application must be submitted before the deadline for submission has expired.

Contact Information

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200+ Best Engineering Research Paper Topics in 2022

Engineering Research Topics

Since the dawn of humanity, there have been  engineering issues   and a need to solve them. Without technological understanding, ancient civilizations would not have been feasible because even then, enormous cities were being constructed with the aid of engineering principles.

This list of research issues aims to familiarise anyone interested in real-world engineering with specific scenarios that occur during practically any sort of professional activity of an engineer and call for ethical problem-level solutions.

You should first define the direction of engineering before beginning your research. You can locate an intriguing research topic in a variety of areas and subtopics. Students interested in history can learn more about engineering anthropology and comprehend this field's numerous phenomena and growth.

Genetic engineering might be a topic for those that enjoy biology. Additionally, any student is free to approach the teacher for suggestions on the most delicate subject matter.

You can choose the topic that will help you find a lot of useful technical information with the assistance of someone with years of experience.

There are many intriguing  engineering research paper   themes available in today's technologically advanced world. However, their diversity can also be an issue because it might be difficult to choose the proper one if you want to present high-quality work.

In this post, we provide a list of intriguing research paper topics for engineering students that are both simple to investigate and enjoyable to write about.

But before suggesting you some good engineering research topics we want to teach you how to choose engineering topics for your research paper.

The following procedures and advice will assist you in selecting the appropriate option from the list of options:

  • If there isn't a list of suggested subjects, brainstorm ideas to come up with engaging engineering research topics that are pertinent to both your project and the industry as a whole.  
  • Select a topic that you are familiar with because engineering topics can get very difficult; moreover, ensure that the topic you select is one that you can understand.  
  • Ensure there are enough resources available on the topics; while writing an essay on a specialized subject can produce intriguing content, it can become too difficult if there aren't good information sources available.  
  • Be open-minded while making your choice; instead of limiting yourself to topics you are familiar with, consider what will make your essay compelling and leave an impression on the grader.

The application of scientific principles is a  direct concern of engineering . Because of this, this field has several unique  characteristics that you cannot find elsewhere.

These are the engineering subjects that touch on them:

  • Engineering education issues and suggestions for improvement
  • The idea of engineering optimization
  • Engineering, quality assurance
  • Engineering measurement and data analysis specifics
  • Utilizing optical techniques for engineering analysis
  • Corrosion's impact on engineering
  • Nanotechnology applications in contemporary engineering
  • Value engineering and analysis
  • AI and machine learning applications in engineering
  • Engineering modeling techniques
  • Engineering and upkeep
  • Micromanufacturing and engineering
  • Engineering advancements in Western culture
  • Technical economy
  • Engineering's theoretical underpinnings and their connection to science
  • Engineering material specifics
  • The design and administration of complex systems
  • Reliability's significance in engineering
  • Complex nuclear engineering issues
  • The function of statistics and probability in engineering
  • Trends in the creation of agricultural technology equipment.
  • Technology in the food sector conserves energy and resources.
  • Innovations in the food business that produces little or no waste.
  • Food industry engineering in small businesses.
  • The modern technosphere's high level of complexity and its extensive integration into societal life.
  • Apparatus for heating up food bulk.
  • Hardware for filling and presenting finished goods.
  • Automation and mechanization of technological procedures in the food sector.
  • Food industry construction products.
  • Food industry production lines.
  • Approaches to systems engineering.
  • Theories for making an engineering-related career decision.
  • Professional analysis of an engineer's education and activity.
  • Professional competency is formed and developed during training.
  • An engineer's design and engineering tasks.
  • Engineering organization and management tasks.
  • Engineering production and technological activities.
  • Engineers and inventors from the United States and Europe (in the field of food production).
  • Types of programs for engineering education.
  • American and international engineering training systems integration

Top 8 Engineering Branches and Research Topics

  • Engineering ethics-related research paper topics
  • Genetic engineering research paper topics
  • Biomedical engineering research paper topics
  • Electrical engineering research paper topics
  • Security engineering research paper topics
  • Software engineering research paper topics
  • Mechanical engineering research paper topics
  • Civil engineering research paper topics

20 Best Engineering Ethics-related Research Paper Topics

  • A set of moral guidelines that engineers use in their work.
  • How might a moral engineer benefit society more?
  • What moral ideals ought to guide engineering practice and research?
  • What moral considerations ought every engineer to make before beginning their professional development?
  • The conception of a product in accordance with all moral principles.
  • Problems with ethics in the test and design areas.
  • Ethical problems with goods and services. How can they be fixed?
  • Moral dilemmas in leadership and collaboration.
  • Obeying the law and ethical principles.
  • What are the most crucial moral principles for engineers?
  • How can an engineer maintain morality?
  • Phases of a personality's growth professionally in engineering.
  • Engineering ethics: What is it?
  • How may engineering ethics be followed?
  • The primary functions of engineering psychology and ergonomics.
  • Why is a strong work ethic necessary in an organization?
  • How does a strong work ethic help a company avoid many issues?
  • Humanitarian knowledge's integration into engineering methods.
  • How may human knowledge be related in many ways to technical thinking?
  • The fundamentals of engineering ethics.

20 Best Genetic Engineering Research Paper Topics

  • Genetic engineering and morality
  • Genetic engineering's significance in modern agriculture
  • Using genetic engineering to increase the production of biofuel
  • One of the key tools for genetic engineering is CRISPR-Cas.
  • Manufacture of antibiotics with genetic engineering
  • The global politics of genetic engineering
  • Genetic engineering: Myths and actual risks
  • Genetic modification and organic food production
  • Possibilities of combining conventional breeding with genetic engineering
  • Utilizing genetic engineering to combat pollution
  • Gene therapy in genetic engineering.
  • How much of our genetic makeup is under our control, and when do we stop being human?
  • What are the benefits of genetically modified organisms?
  • Describe the advantages and disadvantages of genetic testing.
  • What are epigenetics and its value?
  • How to label food with genetically modified organisms?
  • Use of genetically modified organisms in future farming.
  • How can we involve nursing in genomics?
  • Explain the genetic characteristics in humans having different traits like homosexuality.
  • Food safety and guidelines for using genetically modified food products.

Top 20 Interesting Biomedical Engineering Research Paper Topics

  • Research On Blood Resistivity-Based Blood Glucose Measurement
  • Using Finite Element Analysis, A Hybrid Artificial Hip Joint Was Designed.
  • Design Of A Clinical Engineering Department's Management Program With a Real-Time Planning System for Recognizing Heart Sounds
  • Design of a Programmed Oxygen Delivery System Improvement: Adaptive Techniques for Cardiac Arrhythmia Detection Using Artificial Neural Networks By looking for a suitable activation function short message technique in health level 7, U-Net for MRI brain tumor segmentation (HL7)
  • A Study of the Optical and Thermal Effects of Gold Nanoparticles for Magnetic Resonance Noise Reduction Image
  • Analysis of Heart Rate Variability Using Statistical Techniques
  • Reflexology for the Early Detection of Stomach Pain
  • Central Medical Waste Treatment Facility Developing an Internet-Based Tele-Pediatric System
  • Conducting polymers are used in biomedical engineering.
  • The greatest successes in contemporary biomedical engineering
  • IoT applications for biomedical engineering
  • Engineering in biomedicine and 3D printing
  • Carbon-based nanomaterials' significance for biomedical engineering
  • Tactile sensing techniques and technologies
  • Techniques for repairing damaged nerves with biomedical engineering
  • Biomedical engineering uses X-rays, terahertz imaging, and spectrography for medical imaging.
  • Potential of biological materials in biomedical engineering
  • Piezoelectricity in systems for biomedical engineering
  • Breast cancer can be detected by using artificial neural networks.
  • Medical waste treatment equipment.

Best 30 Electrical Engineering Research Paper Topics

  • Can general relativity affect the techniques used in electrical engineering?
  • Electrical engineering and computer science integration
  • Methods for electronic control in mechanical engineering
  • Electrical engineering ideas of energy and information
  • Engineering in electrical nonlinear optimization
  • Dielectric materials that work best for electrical engineering
  • Electrical engineering's differential progression
  • Electrical circuits and quantum electrodynamics
  • Optimization's advantages in electrical engineering
  • Electrical engineering uses polymers and nanoparticles
  • High-speed, high-power PM machines.
  • Active voltage equalization using li-ion and supercapacitor cells connected in series.
  • Direct drive in-wheel motor design choice.
  • Inertia Motors.
  • Nanoelectronics.
  • Interaction engineering at the atomic level.
  • Using silicon carbide, graphene, and photovoltaics.
  • Ferroelectricity and piezoelectricity.
  • Analyzing behavior using computer modeling.
  • Computational research on novel materials and technologies.
  • Powerful electronic devices and tools.
  • Motors for electric vehicles and their redesign.
  • Networks of energy and the mathematics supporting them.
  • Engineering for electrical systems using computers.
  • Monitoring for smart grids.
  • Composites made of soft magnets.
  • Gearboxes and motors for electric vehicles.
  • Loss detection of grid events in distributed generating systems using pattern recognition
  • Autonomous power system difficulties
  • Hybrid electric aerospace.

Top 30 Security Engineering Research Paper Topics

  • Patterns used in security engineering
  • Cloud security engineering specifics
  • Security design for distributed or complicated systems
  • Engineering for privacy and security
  • Security requirements analysis's significance
  • Engineering security in the automobile sector
  • Modeling and testing for security analysis
  • A financial viewpoint on security engineering
  • Flexible security measures
  • Using attack graph models to improve network security
  • the development of ransomware in the field of cybersecurity.
  • Digital device denial-of-service attacks.
  • the foundation of the global cybersecurity strategy.
  • Network intrusion detection and remedies.
  • How should the government deal with cybersecurity?
  • A firewall's function in securing networks.
  • the most typical closed weaknesses.
  • After a data breach, what to do?
  • Widespread spectrum sharing for communications in public safety.
  • Digital security and downloaded materials
  • How to efficiently use the Internet.
  • Modern virus encryption technology.
  • Investigating the importance of algorithm encryption.
  • What is digital piracy?
  • How to navigate the efficiency of the internet?
  • Where do the vulnerabilities come from in a wireless mobile data exchange?
  • Describe the evolution of Android malware.
  • How to detect mobile phone hacking?
  • Privacy and security issues come in chatbots.
  • Cybersecurity and malware connection.

20 Interesting Software Engineering Research Paper Topics

  • Software engineering economics
  • Experimental software engineering techniques
  • There are significant disparities between software engineering theory and practice.
  • Software engineering role models
  • Software engineering for industry
  • Testing's significance in software engineering
  • Collaborating when developing software
  • Security through software engineering
  • Problems with embedded software engineering
  • Managerial techniques in software engineering
  • Describe the distribution of anti-virus software.
  • Suggest some software tools for qualitative research.
  • Software development by data scientists.
  • What is an agile software development process?
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Top 25 Mechanical Engineering Research Paper Topics

  • Nonlinear oscillations and mechanical engineering
  • Mechanical engineering education through gaming Techniques for dependable and sustainable design
  • How can the design development cycle for mechanical engineering designs be shortened?
  • appropriate material selection's significance in mechanical engineering
  • Mechanical engineering's use of mechatronics and microcontrollers
  • German mechanical engineering is a benchmark worldwide
  • Modern mechanical engineering techniques for modeling and prototyping
  • System design using numerical calculation techniques
  • What effects has the growth of mechanical engineering had on Western culture?
  •  Machine learning approaches for quality assurance in a manufacturing setting
  • Using a variable speed drive with supervisory control and data acquisition to control an induction motor.
  • Biomechanics.
  • Energy and combustion systems.
  • Fluid mechanics and aerodynamics.
  • Fluid-structure interactions, acoustic, and vibrations.
  • Food industry category for quality.
  • Food industry physical and mechanical procedures.
  • The food sector uses thermal procedures.
  • Food industry physical and chemical processes.
  • Processes of mass transfer in the food business.
  • Food industry biochemical and microbiological processes.
  • the significance of technological chemical regulation in the food sector.
  • Process engineers and mechanical engineers have different jobs in the food industry.
  • Tools for preparing raw materials for the main technical procedures.
  • Equipment for processing food bulk mechanically.

Best 20 Civil Engineering Research Paper Topics

  • Civil engineering's effect on how we live our daily lives
  • Neural networks' use in civil engineering
  • Engineering and vegetation
  • Techniques for inspecting civil engineering components
  • various composite materials' micromechanics in civil engineering
  • Uncertainty's relevance in civil engineering modeling
  • IR thermography's application to civil engineering
  • In civil engineering, cutting-edge materials and adhesives are employed.
  • Risk assessment's significance in civil engineering
  • Sustainability and civil engineering
  • Techniques for enhancing plants' ability to withstand water stress.
  • The most pressing issues in civil engineering and solutions.
  • Building quality is in jeopardy due to a lack of certified professionals.
  • Economics in transportation engineering is significant.
  • Protection at building sites.
  • Modern developments in civil engineering.
  • How can the entropy theory be applied in real life?
  • How can I discover a suitable job offer and how much is civil engineering worth?
  • How can issues in seismically active areas be resolved?
  • What opportunities does civil engineering have?

A theoretical inquiry is part of the  engineering discipline's control task . You must independently choose the pertinent scientific data, process it, and accurately present it in a sequential manner for your answer to be effective.

Scientific research is still a challenging procedure, especially for students who are unable to balance work and school.

You may always get in touch with our business to conduct the study if you find yourself in such a predicament.  Professional artists   create each work particularly for each client, making each piece unique.

Additionally, they can offer planning advice, suggest study topics, and explain the nuances of research methodology.

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Research Topics in Software Engineering

research topics for software engineering students

This seminar is an opportunity to become familiar with current research in software engineering and more generally with the methods and challenges of scientific research.

Each student will be asked to study some papers from the recent software engineering literature and review them. This is an exercise in critical review and analysis. Active participation is required (a presentation of a paper as well as participation in discussions).

The aim of this seminar is to introduce students to recent research results in the area of programming languages and software engineering. To accomplish that, students will study and present research papers in the area as well as participate in paper discussions. The papers will span topics in both theory and practice, including papers on program verification, program analysis, testing, programming language design, and development tools.

Exploring Cutting-Edge Trends: Engineering Research Paper Topics


Table of contents

  • 1 How to Choose the Best Engineering Topic for Your Research
  • 2.1 Genetic Engineering Research Paper Topics
  • 2.2 Nuclear Engineering Research Paper Topics
  • 2.3 Research Topics on Security Engineering
  • 2.4 Mining and Geological Engineering Research Paper Topics
  • 2.5 Mechanical Engineering Research Topics
  • 2.6 Materials Engineering Essay Topics
  • 2.7 Marine Engineering Research Paper Topics
  • 2.8 Industrial Engineering Research Paper Topics
  • 2.9 Environmental Engineering Research Paper Topics
  • 2.10 Electrical Engineering Research Topics
  • 2.11 Computer and Software Engineering Research Topic
  • 2.12 Civil Engineering Research Topics
  • 2.13 Biomedical Engineering Research Ideas
  • 2.14 Automobile Engineering Research Paper Topic
  • 2.15 Agricultural Engineering Research Topics
  • 2.16 Aerospace Engineering Research Paper Topics
  • 2.17 Electrical and Nanoengineering Research Topic
  • 2.18 Engineering STEM Research Topics
  • 2.19 Engineering Research Topics in Robotics and Automation
  • 2.20 Transportation Engineering Research Topics

Embarking on an engineering research paper marks the beginning of a quest for knowledge that could redefine established norms and innovate practices. It’s a thrilling dive into the depths of technical ingenuity and problem-solving. To commence, one must select a beacon—a topic that not only ignites curiosity but also holds the potential to contribute meaningfully to the field. Whether it’s unraveling the complexities of renewable energy systems or exploring the frontiers of nanotechnology, the chosen subject should challenge and inspire. In this realm, precision, relevance, and forward-thinking drive the spirit of inquiry as researchers forge paths that could shape the future of technology.

Selecting the perfect engineering research topics is fundamental in charting a course for breakthroughs and engaging conversations. The purpose of this guide is to help curious individuals find an engineering research topic that fits their interests and the field’s pulse, guaranteeing a journey full of deep learning and significant results.

How to Choose the Best Engineering Topic for Your Research

Choosing the best engineering research topic begins with identifying your areas of interest. Reflect on the subjects that excite you the most and the current issues facing the engineering world. Once you’ve pinpointed your interests, delve into the latest industry trends, advancements, and scholarly discussions. Conferences, journals, and industry publications are gold mines for the newest challenges and innovations that crave exploration.

Next, evaluate the feasibility of the topics on your list. Consider factors such as resource availability, time constraints, and the scope of potential research. Consult with peers and mentors to gauge the relevance and depth of your chosen topic. It’s also wise to factor in the potential for practical application and the contribution your research could make to the field.

Finally, aim for originality. A unique research topic not only stands out but also adds value to the engineering community. By merging your passion with a gap in existing research, you can craft a topic that is both personally rewarding and professionally commendable.

Best Current Research Topics for Engineering

Explore the forefront of innovation with the best current research topics for engineering, a thrilling showcase of groundbreaking ideas poised to redefine technological frontiers and spark transformative advancements in the field.

Genetic Engineering Research Paper Topics

Venture into the realm of genetic engineering, where the potential for innovation intersects with ethical considerations. These engineering research paper topics offer a unique lens into the intricate dance of DNA manipulation and its far-reaching implications.

  • CRISPR Cas-9 Precision and its Impact on Genome Editing Techniques
  • Gene Therapy Advances for Inherited Disorders
  • Synthetic Biology and the Construction of Artificial Life Forms
  • Ethical Boundaries in Human Genetic Enhancement
  • Genetic Engineering in Agriculture and Crop Resilience
  • The Role of Genetic Engineering in Combating Rare Diseases
  • Bioprinting Human Tissues for Transplantation and Testing
  • Gene Editing’s Potential in Extending Human Lifespan
  • Implications of Genetic Privacy in an Era of Genome Editing
  • Bioinformatics and the Future of Personalized Medicine in Genetic Engineering

Nuclear Engineering Research Paper Topics

Delving into nuclear engineering offers a glimpse into the powerhouse of energy generation and its safety challenges. The following engineering research topics unpack the complexities of nuclear energy and its role in a sustainable future.

  • Advancements in Nuclear Fusion Reactor Design
  • Mitigation Strategies for Nuclear Reactor Disasters
  • Radioactive Waste Management and Long-Term Containment Solutions
  • The Development of Thorium as an Alternative Nuclear Fuel
  • Innovations in Nuclear Reactor Safety and Accident Tolerance
  • Nuclear Energy’s Role in the Global Transition to Clean Power
  • Enhancing Radiation Shielding Techniques for Space Exploration
  • Proliferation Risks of Nuclear Materials and Technologies
  • Economic Analysis of Lifecycle Costs for Nuclear Power Plants
  • Public Perception and Acceptance of Nuclear Energy in the 21st Century

Research Topics on Security Engineering

Security engineering stands at the vanguard of protecting information and infrastructure in our increasingly digital world. These engineering topics to research delve into state-of-the-art defenses and the evolving landscape of threats.

  • Quantum Cryptography and the Future of Secure Communication
  • Biometric Security Systems and Privacy Implications
  • Artificial Intelligence in Cyber Threat Detection and Response
  • Blockchain Applications for Decentralized Security Architectures
  • Secure Software Development Life Cycle for Emerging Technologies
  • Internet of Things (IoT) Security in Smart City Implementations
  • Advanced Persistent Threats and Counteracting Network Security Measures
  • Social Engineering Attacks and Human-Centric Security Strategies
  • Forensic Methods for Detecting Insider Threats
  • Risk Management Frameworks for Cloud Computing Security

Mining and Geological Engineering Research Paper Topics

Mining and geological engineering form the bedrock of our quest for natural resources, balancing extraction techniques with environmental stewardship. Here are vital engineering topics to write about that address today’s challenges and future solutions.

  • Autonomous and Remote-Controlled Mining Machinery Innovations
  • Environmental Impact Assessments of Hydraulic Fracturing Practices
  • Geostatistical Analysis of Mineral Resource Estimation
  • Slope Stability and Landslide Prevention in Open-Pit Mines
  • The Application of Geospatial Technologies in Mineral Exploration
  • Mine Rehabilitation and Post-Mining Ecosystem Restoration
  • Advancements in Offshore Drilling Technology and Impact Mitigation
  • Earthquake Prediction Models and Mining Induced Seismicity
  • Rare Earth Element Extraction Techniques and Economic Viability
  • Subsidence Engineering and Mitigation in Underground Mining Operations

Mechanical Engineering Research Topics

Mechanical engineering is the cornerstone of innovation, driving forward advancements in technology and industry. These engineering topics for research paper explore the cutting-edge developments and challenges within the mechanical realm.

  • 3D Printing of Biodegradable Materials for Sustainable Manufacturing
  • Nanotechnology in Mechanical Engineering: Enhancing Material Properties
  • Robotics and Automation in Precision Assembly Lines
  • Energy Harvesting Techniques for Self-Powered Electronic Devices
  • Fluid Dynamics Analysis in Reducing Aerodynamic Drag for Vehicles
  • Wearable Technology Innovations for Human Performance Monitoring
  • Advanced Composite Materials for Aerospace Application Efficiency
  • Thermal Management Systems in Electric Vehicle Battery Packs
  • Vibration Analysis for Predictive Maintenance in Heavy Machinery
  • Bioinspired Design: Mimicking Nature for Mechanical Solutions

Materials Engineering Essay Topics

Materials engineering is at the forefront of technological progress, shaping the way we build the future with innovative substances and composites. These engineering essay topics delve into the synthesis, analysis, and application of materials that could revolutionize industries.

  • Graphene Integration in Electronics and Energy Storage Devices
  • Biodegradable Polymers in Sustainable Packaging Solutions
  • Self-healing Material Technologies and Their Long-term Durability
  • Advanced Ceramics for High-Temperature Structural Applications
  • Nanomaterials for Targeted Drug Delivery Systems
  • Smart Textiles in Wearable Technology and Their Functionalities
  • Metallic Glass Synthesis for Industrial Application
  • Corrosion Resistance Strategies in Marine Engineering Materials
  • High Entropy Alloys and Their Mechanical Properties
  • Photovoltaic Materials for Enhanced Solar Cell Efficiency

Marine Engineering Research Paper Topics

Marine engineering embodies the spirit of exploration and innovation, navigating the challenges of the sea with advanced technology and design. The following topics in engineering dive deep into the ocean’s mysteries and the engineering solutions that sustain life and commerce on the waves.

  • Wave Energy Conversion Systems and Coastal Power Generation
  • Hull Design Optimization for Fuel Efficiency in Cargo Ships
  • Ballast Water Treatment Technologies to Combat Marine Invasions
  • Underwater Acoustic Communication Systems for Submersible Vehicles
  • Corrosion Resistant Materials for Prolonged Marine Infrastructure Lifespan
  • Autonomous Marine Vehicles and Their Navigational Algorithms
  • Impact of Climate Change on Ship-Borne Disease Spread
  • Sustainable Fishing Techniques and Equipment Design
  • Arctic Drilling Equipment and Ice Management Strategies
  • Marine Robotics for Deep-Sea Exploration and Resource Extraction

Industrial Engineering Research Paper Topics

Industrial engineering is a nexus of productivity, efficiency, and innovation, integrating complex systems and processes. These interesting engineering topics dissect the intricacies of industry operations and the pursuit of technological advancements for systemic improvements.

  • Ergonomic Design in Manufacturing Workstations to Boost Efficiency
  • Machine Learning Applications for Supply Chain Optimization
  • System Dynamics Modeling for Predictive Production Planning
  • Green Manufacturing Practices and Circular Economy Integration
  • Human-robot Collaboration and Safety in the Workplace
  • Quality Control Enhancements through Statistical Process Control
  • Lean Manufacturing Techniques and Waste Reduction Strategies
  • Smart Factory Implementations in Industry 4.0
  • Simulation of Logistics Networks for Urban Congestion Alleviation
  • Cognitive Ergonomics in Industrial Systems Design

Environmental Engineering Research Paper Topics

Environmental engineering is a vital subset of civil engineering, dedicated to creating harmony between construction and the natural world. These topics focus on sustainable development and ecological preservation within the built environment.

  • Phytoremediation Techniques in Soil and Water Decontamination
  • Carbon Capture and Storage Solutions in Urban Planning
  • Impact of Green Roofs on Urban Microclimates
  • Sustainable Wastewater Treatment and Reuse Strategies
  • Air Quality Management and Pollution Control in Metropolises
  • Eco-friendly Concrete Alternatives in Civil Construction
  • Bioreactor Landfills and Methane Harvesting Technologies
  • Riverbank Filtration Systems for Potable Water Supplies
  • Noise Pollution Reduction in Highway Engineering
  • GIS Applications in Hazardous Waste Site Remediation

Electrical Engineering Research Topics

Electrical engineering propels countless innovations, from microelectronics to massive power grids. The following topics highlight the dynamic and essential developments reshaping the electrical landscape.

  • Wireless Power Transfer Systems for Electric Vehicle Charging
  • Organic Photovoltaic Cells for Improved Solar Energy Harvesting
  • Nano-electromechanical Systems in Medical Device Engineering
  • Energy Storage Solutions in High-Density Lithium-Ion Batteries
  • Smart Grid Technologies for Distributed Energy Resources Management
  • Electromagnetic Field Effects on Human Health
  • Machine Vision Algorithms for Automated Quality Inspection
  • Flexible Electronics for Wearable Technology Applications
  • High-frequency Trading Algorithms and Market Impact Analysis
  • Quantum Computing and Its Role in Cryptography

Computer and Software Engineering Research Topic

Computer and software engineering stands at the cutting edge of innovation, constantly evolving to meet the demands of a digital future. These software engineering research topics delve into the algorithms, systems, and applications driving progress in this ever-expanding field.

  • Agile Methodologies Impact on Software Development Lifecycle
  • Cybersecurity in Cloud Computing Environments
  • Application of Artificial Intelligence in Automated Code Generation
  • Blockchain Technology Beyond Cryptocurrency
  • Human-Computer Interaction and User Experience Optimization
  • Internet of Things Security Protocols for Smart Home Systems
  • Machine Learning Techniques in Predictive Software Analytics
  • Virtual Reality Integration in Software Testing Environments
  • Software Solutions for Big Data Management and Analysis
  • Ethical Implications of Autonomous Decision-making Systems


Civil Engineering Research Topics

Civil engineering is a pillar of societal development, encompassing the design and construction of infrastructure that underpins our daily lives. The research topics in civil engineering listed below address the contemporary challenges and technological strides shaping the field’s future.

  • Seismic Retrofitting Techniques for Aging Infrastructure
  • Sustainable Urban Drainage Systems and Flood Risk Mitigation
  • Smart Materials for Self-repairing Concrete Structures
  • Advanced Geotechnical Methods for Landslide Prevention
  • The Role of Civil Engineering in Urban Heat Island Reduction
  • Lifecycle Assessment of Green Building Materials
  • Integration of Autonomous Vehicles into Urban Traffic Management
  • 3D Printing in Rapid Construction and Design Prototyping
  • Water Reclamation and Reuse in Megacities
  • Innovations in Bridge Engineering for Enhanced Longevity and Durability

Biomedical Engineering Research Ideas

Biomedical engineering merges the intricate world of medicine with the precision of engineering, opening new frontiers in healthcare. While these are not topics, they embody a similar spirit of technical innovation applied to biological systems.

  • Tissue Engineering Strategies for 3D-Printed Organs
  • Wearable Biosensors for Real-Time Health Monitoring
  • Nanorobots in Targeted Drug Delivery Systems
  • Neural Engineering for Brain-Machine Interface Development
  • Biocompatible Materials for Implantable Medical Devices
  • Advanced Prosthetics Controlled by Electromyographic Signals
  • Artificial Intelligence in Diagnostic Imaging Techniques
  • Biomimicry in Medical Device Design
  • Regenerative Medicine and Stem Cell Therapy Applications
  • Computational Modeling for Personalized Medicine Treatment Plans

Automobile Engineering Research Paper Topic

Automobile engineering is continuously evolving, driven by the quest for sustainability, efficiency, and cutting-edge technology. Although distinct from software engineering topics for research, these themes share a focus on innovation and design in the quest for advancement.

  • Electric Vehicle Battery Management Systems for Optimal Performance
  • Autonomous Vehicle Sensor Integration and Data Fusion
  • Hydrogen Fuel Cell Advancements for Zero-Emission Cars
  • Aerodynamic Design for Enhanced Fuel Efficiency in Commercial Vehicles
  • Advanced Driver-Assistance Systems and their Impact on Traffic Safety
  • Smart Materials for Lightweight and Durable Automotive Components
  • Integration of IoT in Vehicle-to-Vehicle Communication Systems
  • Predictive Maintenance in Automotive Engineering using Machine Learning
  • Noise, Vibration, and Harshness Reduction Techniques in Car Design
  • The Impact of Vehicle Electrification on Urban Planning and Infrastructure

Agricultural Engineering Research Topics

Agricultural engineering fuses the knowledge of engineering with agricultural practice to solve crucial challenges in food production and farming sustainability. While not inherently controversial engineering topics, these subjects often stir debate due to their significance in global food security and environmental impact.

  • Precision Farming Technologies to Maximize Crop Yield
  • Water Resource Management for Sustainable Irrigation Practices
  • Genetic Engineering of Crops for Climate Resilience
  • Renewable Energy Systems in Agriculture
  • Robotics and Automation in Precision Livestock Farming
  • Post-Harvest Technology for Reducing Food Loss
  • Soil Health Monitoring Techniques for Enhanced Nutrient Management
  • Agrochemicals Delivery Systems and Their Environmental Footprint
  • Controlled Environment Agriculture for Urban Farming Efficiency
  • Bioenergy Production from Agricultural Waste Management Systems

Aerospace Engineering Research Paper Topics

Aerospace engineering takes us beyond the confines of Earth, embracing the vastness of space with technologies that defy gravity. These topics, while distinct from genetic engineering research topics, are similarly ambitious, exploring the limits of human ingenuity and the potential for discovery beyond our atmosphere.

  • Materials Engineering for High-Stress Aerospace Applications
  • Computational Fluid Dynamics in Hypersonic Vehicle Design
  • Satellite Swarm Navigation Techniques for Space Exploration
  • Innovative Propulsion Systems for Deep Space Missions
  • Bioastronautics: Sustaining Life in Space Environments
  • Impact of Microgravity on Mechanical Systems Design
  • Unmanned Aerial Vehicle Aerodynamics for Mars Reconnaissance
  • Thermal Protection Systems in Re-entry Vehicle Engineering
  • Design Optimization of Spacecraft Life Support Systems
  • Advanced Rocketry and the Viability of Space Tourism

Electrical and Nanoengineering Research Topic

Electrical engineering is a dynamic field that encompasses the study and application of electricity and electronics, propelling countless modern innovations. These topics extend into the realm of topic, probing into the minutiae of materials and processes that power our electronic devices.

  • Nanoscale Semiconductor Devices for Next-Generation Computing
  • Organic Light-Emitting Diodes in Flexible Display Technology
  • Quantum Dot Solar Cells for Enhanced Photovoltaic Efficiency
  • Nanomaterials in High-Density Energy Storage Solutions
  • Nano-antennas for Improved Wireless Communication Systems
  • Magnetic Nanoparticles in Medical Imaging and Diagnostics
  • Nanotechnology in Electromagnetic Interference Shielding
  • Nanostructured Materials for Advanced Sensor Technologies
  • Nanofabrication Techniques for Superconducting Electronics
  • Energy Harvesting at the Nanoscale for Self-Powered Devices

Engineering STEM Research Topics

Engineering STEM is an ever-expanding field, pivotal to the advancements in how we connect and interact with technology. These engineering STEM research topics address the latest innovations and challenges in creating more efficient, robust, and sophisticated communication systems.

  • 5G Network Infrastructure and its Socioeconomic Impacts
  • Machine Learning Algorithms for Enhanced Signal Processing
  • Organic Transistors in Flexible Electronics
  • Wearable Communication Devices for Health Monitoring
  • Low Earth Orbit Satellite Constellations for Global Internet Coverage
  • Signal Encryption Techniques for Secure Communication Channels
  • Energy-Efficient Routing Protocols in Mobile Ad-hoc Networks
  • Integration of LiFi for Next-Generation Wireless Communication
  • Quantum Computing’s Role in Advancing Cryptography
  • The Evolution of Underwater Acoustic Sensor Networks

Engineering Research Topics in Robotics and Automation

Robotics and automation stand at the forefront of engineering, blending artificial intelligence with mechanical prowess to innovate how tasks are performed. These research topics delve into the transformative potential of robots and automated systems, from intricate surgeries to industrial assembly lines.

  • Swarm Robotics Coordination Algorithms for Disaster Relief Operations
  • Collaborative Robots and Human-Robot Interaction Safety Protocols
  • Adaptive Control Systems for Precision Agriculture Robotics
  • Augmented Reality in Enhancing Robotic Assembly Line Training
  • AI-Driven Predictive Maintenance in Industrial Automation
  • Soft Robotics Applications in Minimally Invasive Surgery
  • Development of Energy-Efficient Actuators for Sustainable Robotics
  • Machine Vision Systems for Quality Control in Manufacturing
  • Robotic Exoskeletons for Rehabilitation and Enhanced Mobility
  • Automation in Smart Grids for Optimized Energy Distribution

Transportation Engineering Research Topics

Transportation engineering is a key driver in the advancement of mobility solutions, focusing on the design, construction, and maintenance of efficient transport systems. These research topics investigate the development of safer, more sustainable, and technologically advanced transportation networks.

  • Impact of Autonomous Vehicles on Urban Traffic Flow
  • Eco-Friendly Pavement Materials and Their Lifecycle Assessment
  • Smart Traffic Signal Systems for Reduced Congestion
  • Electrification of Public Transit and Infrastructure Challenges
  • Pedestrian Flow Dynamics in Urban Planning
  • Bridge Health Monitoring Using IoT Sensors
  • High-Speed Rail Systems and Cross-Border Integration Challenges
  • Adaptive Cruise Control Systems in Vehicle Safety Enhancement
  • Drone Technology in Expedited Cargo Delivery
  • Multi-Modal Transportation Planning for Improved Accessibility

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211 Interesting Engineering Research Paper Topics

Engineering Research Paper Topics

The world of engineering is replete with experimentation and discoveries; it’s only a matter of understanding what is required and knowing where to look. Sometimes, college students are at a loss on how to choose the right research topic for their projects, especially when it comes to their area of specialty. This is normal in most cases.

If you’re in university and you’re so confused about how to choose a suitable engineering topic for research papers to work on, then you’re in luck. This entire guide is dedicated to offering you expert quality and professional research paper writing services and writing tips you can’t get anywhere else online.

Genetic Engineering Research Paper Topics

This refers to the process of deliberately altering the genetic composition of an organism. Nowadays, the leaps in genetic engineering have benefited several important aspects, including stem cell research.

Through genetic engineering, several diseases and predisposing factors have been discovered and written out or edited. The fact that such technologies exist, gives enough motivation for many to want to carry out further research on the topic.

Below are some relevant topics for further research that students can use in the field of genetic engineering.

  • The possibility of recovering and the DNA of extinct animals in the restocking of said species.
  • Existing genetic theories and explanations which support or disprove certain aspects of human behavior.
  • The viability of cloning organisms.
  • The existing relationship between genetic factors and acne susceptibility of individuals.
  • Genetic explanations and theories supporting or disproving social animal behavior.
  • The connection between coronary heart disease and genetic interference.
  • Genetic research and how they have influenced the environment.
  • How close are we to cloning humans?
  • The relationship between genetic factors and allergic reactions.
  • Can congenital deformities be passed down from mother to child?
  • Genetic explanation for similarities in personalities of twins raised apart.
  • Genetic explanation for differences in personalities of twins raised apart.
  • Who funds genetic research?
  • Factors that contribute to inbreeding depression.
  • Genetic explanation of genetic variations in the distribution of organisms of the same species.
  • Current strides in genetic engineering.
  • Genetic engineering: moral or immoral?
  • When does genetic engineering cross the line?
  • Who defines right and wrong in genetics?
  • The future of genetic coding and editing.

Industrial Engineering Research Paper Topics

This branch of engineering is one that deals specifically in making complex systems, organizations, structures, etc. more efficient by developing and improving upon the pre-existing systems. In industrial engineering, the goal is the improvement and application of researched, factual upgrades to systems when dealing with individuals, finance, information, etc. in order to produce optimized results and functions.

Industrial engineering seeks to improve the methods employed by companies in the implementation of processes in the manufacture and operations of projects.

Research in industrial engineering will help broaden your knowledge of how things are and how they should be to function more efficiently and effectively. To help you get started, here are some research topics you can consider taking a closer look at.

  • Mining and discovery of data.
  • The designing, structuring, and execution of experiments.
  • Strategies employed in manufacturing.
  • Single-objective optimization.
  • Poly-objective optimization
  • Managing a supply chain.
  • Analytical approach to the management of data.
  • Experimental designing.
  • Analysis of variance.
  • Interaction of dependent and independent variables in our reality.
  • The algorithm of differential evolution.
  • Artificial neural networks and their application.
  • Planning and design concepts in the building of structures.
  • Layouts and designs of structures.
  • Systems and analyses of handling industrial materials.
  • Artificial intelligence.
  • The influence of computers on driving.
  • Application of ergonomics in the world of engineering today.
  • The rise of automation in modern industries.

Research Paper Topics Related To Civil Engineering

One simple way to define civil engineering is that it’s basically all that we can see that has been built around us. It simply refers to an expert branch or discipline of engineering that focuses on making viable, practical arrangements with the plan, development, and maintenance of the physical, visible structures around us.

Civil engineering focuses on specific areas of structural building and maintenance, including public works like streets, waterways, dams, air terminals, sewerage frameworks, pipelines, primary segments of structures, rail routes, and so on.

Civil engineers imagine, plan, create, administer, work, develop and keep up basic interactions and frameworks in the general population and private area, including the roads, structures, airport terminals, burrows, dams, extensions, and frameworks for water supply and sewage treatment.

Below are some more topics you might be interested in, which will help as a student to answer some research paper projects and assignments.

  • Automation of the operation of machines in industries.
  • Designing, building, and engineering sturdy structures.
  • Designing long-lasting buildings and systems.
  • Materials for innovation.
  • Systems employed to help in the detection and management of natural disasters.
  • Elimination and mitigation of industrial and structural hazards.
  • Analyses of risks and reliability of computational alerts.
  • Informatics and its application.
  • Simulations in engineering.
  • Land surveying.
  • Designing, engineering, and construction of roads.
  • Designing, engineering, and construction of buildings.
  • Engineering and transportation.
  • Geotechnical and its application in everyday life.
  • Engineering: its contribution and effects on the environment.
  • The impact of engineering on the structure and interaction of microorganisms in the soil.
  • Analyzing and designing residential and industrial structures.
  • The integration of various designs into construction plans.
  • The role of civil engineering in the control of environmental pollution.

Research Paper Topics Software Engineering

Software engineering is a branch of engineering that deals with the systemic application of analyses and research findings to the creation and management of software.

In software engineering, the process entails a disciplined, quantifiable approach to the application of said findings in the creation, operation, management, and security of software.

Further research topics and areas yet to be fully explored in software engineering are listed below.

  • The Internet of Things.
  • Cybersecurity.
  • Mining data.
  • Application of software engineering in the diagnosis and treatment of medical diseases.
  • Applications of Deep Neural Networking.
  • Detection and prevention of scams and online frauds.
  • Hacking: ethical hacking and the blue nowhere.
  • Benefits of professionalizing esports.
  • Automating the repairs of machines and industrial structures.
  • Assessing and testing clones.
  • The sustainability of ICT in various industries.
  • Application of ICT in Small and Medium-scale Enterprises.
  • Artificial intelligence and its contribution to the economy.
  • Ranking clone codes.
  • Data analytics.
  • Prediction and elimination of errors in software engineering.
  • Debugging in architecture.
  • Using machine learning to predict and detect defects in software.

Research Paper Topics For Engineering

Without mincing words, engineering is an umbrella term for the discipline which combines mathematics, physics, and physical sciences in the creation, development, and maintenance of technology.

Some areas for further research are listed below.

  • Systems of electrical power.
  • Sustainable alternatives and sources of energy.
  • Material modeling.
  • The mechanics of damage.
  • Renewable and non-renewable sources of energy.
  • Acoustics in engineering.
  • The engineering of chemical reactions.
  • Electronic appliances.
  • Electronics.
  • Electromagnetism.
  • The fusion of Information and Communications Technology with multimedia.
  • Content administration.
  • Electrical applications of physics.
  • Fusion of nuclei.
  • Engineering of light.
  • Design of advanced systems.
  • Clean technology and zero-carbon energy.
  • Hydroelectric engineering.

Research Paper Topics About Electrical Engineering

Electrical engineering refers to the branch of engineering that entails the operational use of technology of electricity and electrical appliances. This division of engineering focuses on the design and application of equipment used in the generation and distribution of power, as well as the control of machines and communications.

There’s a whole new world under the name of electrical engineering, and further research into the field will yield solutions to many world problems. Some of these research topics are listed below.

  • Harnessing the infinite potentials of solar energy.
  • Harnessing the infinite potentials of thermal energy.
  • Designing, engineering, and creating wind generators.
  • 3D printing.
  • Constructing circuits.
  • Additive manufacture.
  • Renewable forms of energy.
  • Soft robotics.
  • Conventional robotics.
  • Medical diagnoses and health monitoring using electrical appliances and engineering.
  • Design of energy generators.
  • Management and control of energy.
  • General applications of vehicular control.
  • Cloud services.
  • Smart grids.
  • Quality of power.
  • Wireless transfer of energy from a higher source of energy to a machine with low energy.

Research Paper Topics In Automobile Engineering

Automobile engineering is perhaps one of the most practical branches of engineering that can be seen and put to use in everyday life. It involves the study of the creation, design, structure, interaction between component parts, etc. of vehicles and other means of transportation.

Automobile engineering is often restricted to land vehicles and some suitable research topics that may interest you are listed below.

  • Techniques, procedures, structural designs, and functionality in race cars and Formula 1.
  • Drones and other unmanned aerial conveyors.
  • Processes in centrifugal casting.
  • Shaper machines and their practical examples in everyday life.
  • Tectonic sources of heat energy.
  • Conversion of wave energy.
  • General conversion of energy.
  • Airbags and their contribution to ensuring the safety of passengers while en route.
  • Designs, applications, and operations of aerodynamics.
  • Application of aerodynamics in physics and automobile engineering.
  • Design, application, functions, and restrictions surrounding robotic systems.
  • Electric cars, the future of automobiles and driving.
  • Solar-powered cars.
  • Brakes and vehicular control.
  • Solar-powered air conditioning units.
  • Speed sensors for vehicles in motion.
  • Steam energy: application, viability, risks associated with it, and how to minimize the risks involved.
  • Wind energy: production of renewable energy from wind turbines.
  • Smart cars: artificial intelligence, real-time analyses, and utilization of data by artificial intelligence.

Engineering Ethics Research Paper Topics

Engineering ethics refers to the branch of engineering that addresses ethical issues surrounding the study and pursuit of engineering.

More often than not, engineering, in the quest for globalization and technological advancement, crosses some ethical lines in carrying out its duties. Engineering ethics is there to keep the branches of engineering in check to make sure that the obligations to the public and everyone else are carried out ethically.

Discover new horizons in engineering ethics by studying any of the following research topics.

  • The history of engineering ethics, and its application through the years.
  • Circumstances that led to the relevance and development of engineering ethics.
  • Connections between the scientific, historical and technological in engineering ethics.
  • Approaches to ethical engineering.
  • Principles and vast potentials of engineering ethics.
  • Associations and bodies that monitor and uphold engineering ethics.
  • Similarities in engineering ethics and ethics in other professions.
  • Differences between engineering ethics and ethics in other professions.
  • The engineer’s obligations to the public in general.
  • Engineering ethics: responsibility and accountability of engineers.
  • Violation of engineering ethics.
  • Effects of projects undertaken in engineering on the environment.
  • Balancing public obligations and development of work projects.
  • The impacts of globalization on ethical engineering.
  • Engineering ethics and voluntarism.
  • Contradictory ethical standpoints in engineering ethics.
  • The engineer’s societal obligations and ethics in engineering.
  • Engineering ethics and professional obligations.
  • How engineering ethics influences profit generation.

Research Paper Topics: Security Engineering

Security engineering is a branch of engineering that deals with the integration of security monitoring and controls in a system, such that the controls are absorbed into the system, and are now seen as parts of the operational abilities of the system.

Above all else, security engineers analyze, supervise and develop technology and technicalities that help organizations in preventing malware from invading their systems, leaks of client information, breaches, etc. associated with cyberterrorism and cybercrime.

Security engineers major in building infallible, resilient software systems that stand tall in the face of malware, defects, errors, etc. It relies on certain tools in the design, implementation, testing, etc. of finished systems, as well as the continuous upgrades in time with environmental changes.

  • Protection of clients’ data.
  • Protecting the privacy of users.
  • Cloud security.
  • Security policies to protect client data.
  • Data management and security policies.
  • Privacy and security on the internet.
  • Client data and software security.
  • Security of users while participating in online interactive platforms.
  • Mobile app security.
  • The implication of unified user profiles for clients while using the Internet of Things.
  • Cyberattacks and some ways that corporations can survive them.
  • Centralizing the system of data storage.
  • Cybersecurity of online mobile gaming platforms and user data.
  • Computer security.
  • Security of software.
  • Cybersecurity and social engineering.
  • Effects of automation of operations in security engineering.
  • The human factor in security engineering.
  • Combating malware with antiviruses.

Aerospace Engineering Research Paper Topics

Aerospace engineering refers to the branch of engineering that is concerned with making current, factual researches, designing, developing, constructing, conducting tests, technology, dynamics, and applications of spacecraft and airplanes.

Aerospace engineering refers to aerial systems that are operational within the Earth, and in outer space.

  • The dynamics of unstable gases.
  • Parallel systems based on ground power unit (GPU).
  • Laser tools: computation, precision calculations, and implementation from start to finish.
  • Simulation of turbulence in reactive flows.
  • Fluid dynamics in aerospace engineering.
  • The propagation of elastic waves.
  • Designs for lunar missions.
  • Detection of faults in composite aerospace locations.
  • Applications of elastic abrasives.
  • Management of supply chains.
  • Functional designs for wind turbines.
  • Dynamics of fluids and fuels for machines.
  • Mechanics of solids.
  • Rocket propulsion.
  • Missile launching: precision and analyses.
  • Structures in aerospace.
  • Micro Aerial Vehicles.
  • Different fuselage systems.
  • Structural differences between a forward-swept wing passenger aircraft and a backward-swept wing passenger aircraft.

Chemical Engineering Research Paper Topics

Chemical engineering is another practical branch of engineering. It deals with the planning, designing, as well as operations of processing sites, as well as the interaction between physical, biological, and chemical processes involved in creating economically important technologies.

Some research topics are listed below.

  • The use of different types of oils in the manufacture of soap.
  • Replenishing soil nutrients and microorganisms in polluted areas by the use of organic fertilizers.
  • Degradation of soil and stripping of soil nutrients by industrial waste deposition.
  • Speeding up the degradation of plastic and reducing pollution.
  • Petrochemical products and their applications.
  • The interaction between soil microorganisms and organic fertilizers.
  • Techniques in separating simple and complex homogeneous liquids.
  • Techniques in reversing the action of free radicals.
  • Relationship between elements in the environment.
  • Molecular biology and the intricate specialization of cells.
  • Interaction between drugs and the immune system of a living organism.
  • Heat and heat energy.
  • Mass production of alternatives to fossil fuels.
  • Renewable, plant-based sources of energy.
  • Reclaiming methane as by-products of waste products.
  • Redox reactions and their applications.
  • Heat properties of paper.
  • Designing, producing, and enhancing supercapacitors.
  • Controlled extraction of plant-based wax from the pods of plants like the Theobroma cacao.
  • Water pollution and pollutants.

Research in engineering begins with an ideal topic. Backing either of the above up with factual findings is guaranteed to get you top grades.

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Research in Systems Engineering at Cornell covers an extremely broad range of topics, because of this nature, the research takes on a collaborative approach with faculty from many different disciplines both in traditional engineering areas as well as those outside of engineering.

Because of the nature of systems science and engineering, the research takes on a collaborative approach with faculty and students from many different disciplines both in traditional engineering areas as well as those outside of engineering such as health care, food systems, environmental studies, architecture and regional planning, and many others.

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