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Wing LamView profile

Assistant Professor

• Software Testing
• Flaky Tests
• Mobile Testing
• +4 more

Wing Lam is an Assistant Professor at George Mason University specializing in software engineering with a focus on software testing methodologies. His academic service includes program committee membership for major conferences including ASE, ICSE, ISSTA, and ESEC/FSE, as well as session chair roles across multiple tracks. His research interests center on flaky tests , mobile application testing , and continuous development optimization . Lam's work addresses critical challenges in test reliability, particularly order-dependent flaky tests and resource-related flakiness. His research bridges theoretical foundations with practical applications in modern software development pipelines, with recent expansion into AI-assisted testing methodologies. Lam's publication record shows a clear trajectory focusing on flaky test detection and mitigation, with approximately 60% of his recent work dedicated to various aspects of this problem. His research increasingly incorporates machine learning techniques for UI testing and test optimization, reflecting broader trends in the field. The consistent publication venue pattern across top software engineering conferences indicates strong recognition within the academic community. Lam has served in multiple leadership roles including Program Co-Chair for MOBILESoft Research Track and Committee Member for ASE's New Ideas and Emerging Results (NIER) Track. His involvement in workshops focused on flaky testing demonstrates his specialization in this niche area of software testing.

Reid HolmesView profile

Professor

• Software Engineering
• Software Testing
• Code Search
• +7 more

Reid Holmes is a Professor in the Software Practices Lab at the University of British Columbia's Department of Computer Science, Faculty of Science. With over 15 years of academic experience, he has progressed from Assistant Professor at the University of Waterloo (2010-2015) to Associate Professor (2015-2022) and now full Professor (2022-present) at UBC. His research spans multiple dimensions of software engineering with a strong emphasis on the human aspects of development. Dr. Holmes' research interests focus on understanding the problems software engineers encounter when creating and evolving software systems. His work examines software testing and validation, source code reuse, code search, context-sensitive example location, API understanding, speculative analysis, code review, and team awareness. He believes that by better understanding how people create, explore, evolve, and reason about software systems, we can enhance developers' effectiveness and improve software quality. His research is characterized by its practical application to real-world software development challenges. His recent publications demonstrate a consistent focus on improving developer productivity through better tools and understanding of developer behavior. The publications reveal a trajectory from traditional software engineering topics toward newer areas involving AI-assisted development, with particular attention to how generative AI affects workflow and collaboration. His work consistently bridges theoretical software engineering concepts with practical developer experience considerations. ACM SIGSOFT Distinguished Paper Award (multiple times) FSE 2024 Most Impactful Paper Award 2024 ICSE Most Influential Paper Award Winner of the 2008 MSR Mining Challenge As an educator and mentor, Dr. Holmes has supervised numerous graduate students who have gone on to successful careers in academia and industry. He has served on program committees for major software engineering conferences including ICSE, FSE, and MSR, and has been an Associate Editor for TSE since 2016. His work on developer tools like CodeShovel, Devy, and Baker demonstrates his commitment to creating practical solutions that address real developer pain points.

Michael CoblenzView profile

Assistant Professor

• Usability of programming languages
• User-centered programming language design
• Type systems for safety
• +6 more

Michael Coblenz is an Assistant Professor in the Computer Science Department at University of California, San Diego. His research focuses on integrating user-centered design into programming language development, creating safer languages for blockchain and scientific computing. He completed his Ph.D. at Carnegie Mellon University under Jonathan Aldrich and Brad A. Myers, followed by a Basili postdoctoral fellowship at University of Maryland. Specializes in usability of programming languages Created Obsidian language for safer smart contracts Developed PLIERS methodology for iterative language design Active in Rust usability and REST API quality research His work bridges programming languages and human-computer interaction, with recent projects including Kale (safer spreadsheets) and climate change-focused programming tools. He has served on program committees for SPLASH, VL/HCC, and HATRA conferences. 2025: Graduate Consortium Co-chair at VL/HCC 2024: HATRA Organizing Chair 2023: Doctoral Symposium Chair at SPLASH

• High-Performance Computing
• Parallel Programming
• Computer Architecture
• +3 more

Prof. Dr. rer. nat. Matthias S. Müller is a Universitätsprofessor and Director of the IT Center at RWTH Aachen University. His research focuses on High-Performance Computing (HPC), parallel programming models, correctness verification, energy-aware computing, and tools for distributed systems. He leads the High-Performance Computing group, contributing to advancements in HPC resource management, runtime systems, and sustainable computing practices. Key areas of expertise include MPI and OpenMP correctness checking, static and dynamic analysis techniques, performance optimization for heterogeneous architectures, and energy footprint modeling. Müller has extensively collaborated on projects like MUST (MPI correctness tool), OMPT tools, and frameworks for analyzing hybrid parallel applications. His work bridges theoretical computer science with practical implementation challenges in large-scale computing environments. Notable contributions include developing methods for data race detection in Remote Memory Access (RMA) programs, latency-aware power management models, and educational frameworks for HPC lab courses. His research often emphasizes tool development, runtime systems, and interdisciplinary applications of HPC across engineering domains. Müller's lab is part of RWTH Aachen's IT Center, which provides infrastructure and expertise for computational research. He actively publishes in top-tier conferences and journals, addressing challenges in parallel programming, energy efficiency, and distributed computing systems.

James H. Cross IIView profile

Professor

• Software Engineering
• Computer Science
• Program Visualization
• +3 more

James H. Cross II is a Professor in the Department of Computer Science and Software Engineering at Auburn University's College of Engineering, with prior affiliations at the University of Nevada Las Vegas' Business School and Drexel University's College of Medicine. His research focuses on software engineering education, program visualization, reverse engineering, and educational technology. Key Roles : Software Engineering Educator, Java Pedagogy Innovator, Program Visualization Researcher His work emphasizes enhancing code comprehension through dynamic data structure visualizations (e.g., jGRASP IDE), reverse engineering methodologies, and interdisciplinary applications in software maintenance and curriculum development. Recent trends in his publications (2019–2024) include FAIR data principles, ontological frameworks, and token-based incentives for scholarly contributions. Notable collaborations include T. Dean Hendrix, Larry A. Barowski, and David A. Umphress. Affiliated with institutions like Auburn University, University of Nevada Las Vegas, and Drexel University's College of Medicine, his career spans software engineering research, educational tool development, and academic leadership.

Xavier DevroeyView profile

Assistant Professor

• Software Testing
• Search-Based Software Engineering
• Software Variability
• +5 more

Xavier Devroey is an Assistant Professor of Software Engineering at the University of Namur in Belgium. He co-leads the SNAIL Team with Benoît Vanderose, focusing on innovative approaches to software testing and automation. His work bridges academic research with practical applications in the software engineering community. His educational background includes a Ph.D. and Master's in Computer Science from the University of Namur, plus a Bachelor's in Analyst Programming from Haute Ecole de Bruxelles, Belgium. This comprehensive academic training informs his research and teaching approach. Devroey's research interests center on Software Testing , with particular emphasis on Search-Based Software Engineering and Software Variability . His specific focus areas include: Search-Based Testing and Fuzzing Model-Based Testing Mutation Testing Variability Modeling Software Product Line Testing Test suite augmentation DevOps integration These interests reflect his commitment to advancing automated approaches for test case design, generation, selection, and prioritization. His recent publication portfolio (2019-2025) demonstrates consistent contributions to software testing research, with particular focus on crash reproduction, API testing, and innovative approaches to test automation. The articles reveal a strong emphasis on practical applications of search-based techniques across various testing domains. Devroey maintains active engagement with the academic community through conference participation, having served on program committees for major software engineering conferences including ASE, ICSE, ISSTA, and ICST across multiple years (2019-2025). He also contributes to educational aspects of software engineering, with publications examining testing education approaches and tools for programming exercise assessment. His personal website (xdevroey.be) and GitHub profile demonstrate his commitment to open academic practices and community engagement.

• Computer Science Education
• Visual Programming Languages
• Computational Thinking
• +5 more

Alexander Repenning is a Professor in the Department of Computer Science at the University of Colorado Boulder's College of Engineering and Applied Science. He has been a leading researcher in computer science education, particularly in the areas of visual programming, computational thinking, and game-based learning for over three decades. Repenning's research focuses on making programming accessible to novices through innovative environments like AgentSheets and AgentCubes. His work emphasizes blocks-based programming, computational thinking patterns, and scalable approaches to computer science education. He has pioneered the Scalable Game Design methodology which has been implemented in schools worldwide to teach computational thinking through game design. His recent publications (2021-2024) show a continued focus on blocks-based programming environments, with emerging work integrating AI concepts into educational programming tools. His research demonstrates consistent interest in understanding how to make programming more accessible while preserving computational thinking principles, with particular attention to flow theory, scaffolding techniques, and measuring educational impact. Significant contributions to scalable game design methodology Pioneering work in blocks-based programming for education Development of AgentSheets and AgentCubes environments Repenning has mentored numerous researchers who have become leaders in computer science education themselves, including Ashok Basawapatna, Andri Ioannidou, and David Webb. His work has been supported by multiple NSF grants focused on broadening participation in computing and developing scalable approaches to computer science education. He leads the Scalable Game Design project which has created a comprehensive ecosystem for teaching computational thinking through game design. His laboratory focuses on developing and evaluating visual programming environments, with particular attention to how students engage with computational concepts through game design activities. The team has developed sophisticated analytics to measure computational thinking patterns in student projects, enabling formative assessment in programming education.

Niklas MeißnerView profile

Researcher

• Software Engineering Education
• Gamification in Education
• Artificial Intelligence in Learning
• +3 more

Niklas Meißner is a Research Assistant and Doctoral Researcher at the University of Stuttgart's Institute of Software Engineering, specializing in Software Quality and Architecture. His research focuses on gamification, AI-driven educational tools, and improving software engineering education through modern learning systems. He holds a M.Sc. in Software Engineering (University of Stuttgart) and B.Sc. in Applied Computer Science (University of Telecommunications Leipzig), with academic exchanges at the University of California, Irvine and University of Kansas. His work explores adaptive gamification in intelligent tutoring systems, leveraging AI to enhance motivation and learning outcomes. He co-supervises projects like MEITREX (gamified tutoring) and EvalQuiz (AI-based quizzes). Teaching roles include lecturing in Advanced Software Engineering and supervising development projects on gamified learning platforms. Research Interests: Gamification, AI in Education, E-Learning Systems, Software Engineering Pedagogy, Automated Assessment. Industry Experience: IT Architect/Product Owner at T-Systems International GmbH, Junior IT Architect at Deutsche Telekom AG. Key publications address AI-generated exercises, ChatGPT's role in education, and gamified platforms for software engineering. His work bridges technical innovation with educational practice, emphasizing scalability and student engagement.

• Computer Science Education
• Data Literacy
• Artificial Intelligence in Education
• +3 more

Elena Spörer is a researcher at the Chair of Computer Science Education at Technische Universität München (TUM) . Her work focuses on data literacy, debugging processes, code quality in K-12 education, and pedagogical approaches to quantum computing. She contributes to curriculum development and teacher training initiatives.

• Computing Education
• Computer Science Education
• Programming Education
• +5 more

Quintin I. Cutts is a Professor in the School of Computing Science within the College of Science and Engineering at the University of Glasgow. He serves as a leading researcher in computing education with extensive contributions to programming pedagogy, educational frameworks development, and assessment methodologies across multiple educational levels from primary school through undergraduate programs. His research interests focus on computing education , particularly the development of educational frameworks like the ABC Framework for orienting learners in programming classes, spatial skills development in computational thinking, code comprehension strategies, and early-years computing education. His work bridges cognitive psychology with practical educational interventions, examining how spatial reasoning, argumentative reasoning, and physical activities impact programming learning outcomes. Analysis of his recent publications reveals a strong emphasis on developing structured educational approaches for novice programmers, with particular attention to how spatial skills correlate with computational thinking development, how to design effective early programming experiences, and how to address participation inequalities in computer science education. His work increasingly focuses on practical frameworks that can be implemented in real classroom settings across different educational stages. Cutts has established significant collaborative networks through organizing UKICER (United Kingdom and Ireland Computing Education Research) conferences and participating in international computing education research communities. His mentoring approach is evident through frequent co-authorship with junior researchers including Jack Parkinson, Maria Kallia, and Joseph Maguire, who have become established researchers in the computing education field themselves. He has contributed to building research infrastructure through initiatives like Works-in-Progress workshops that support emerging scholars.

Gordon FraserView profile

Professor

• Software Testing
• Automated Test Generation
• Software Engineering Education
• +6 more

Gordon Fraser is a Professor at the University of Passau, where he leads the Chair of Software Engineering II. His research focuses on software testing, automated test generation, and software engineering education, with particular emphasis on gamification techniques to improve testing practices and educational approaches for novice programmers. His research interests span multiple areas of software engineering, with a strong focus on practical testing solutions. He has made significant contributions to automated test generation, particularly for Android applications and block-based programming environments like Scratch. His work on gamification in software testing has led to innovative educational tools that engage students and professional developers alike. Fraser's research also addresses challenges in continuous integration, mutation testing, and flaky test detection, contributing to more reliable software development processes. Fraser has received recognition through his extensive publication record in top software engineering venues including ASE, ICSE, ISSTA, and ESEC/FSE. His work on tools like Pynguin (for Python test generation), Gamekins (for gamifying testing in Jenkins), and Code Critters (for teaching testing through games) demonstrates his commitment to bridging research and practical applications. Extensive research on automated test generation techniques Pioneering work in gamification of software testing education Significant contributions to testing block-based programming environments Active development of practical testing tools used by researchers and practitioners As an educator, Fraser has developed innovative approaches to teaching software testing concepts, particularly to young learners and novice programmers. His work integrates game design principles with software engineering education to create engaging learning experiences that improve comprehension and retention of testing concepts.

• Computer Science Education
• Algorithm Visualization
• eTextbook Development
• +5 more

Clifford A. Shaffer is a Professor at Virginia Tech, known for contributions to computer science education and bioinformatics modeling. His work focuses on algorithm visualization, eTextbook development (OpenDSA project), and computational biology. He has extensive publications in SIGCSE, ITiCSE, and bioinformatics journals. Research spans educational technologies like JSAV library and interactive learning systems, alongside systems biology models using tools like JigCell. Collaborates with experts in both CS education and biological systems analysis. Key affiliations: Virginia Tech (Blacksburg, VA) Co-developed OpenDSA platform for CS education Contributed to JigCell modeling framework for biochemical networks Research interests integrate computational methods with education innovation, emphasizing student engagement through active learning materials and data-driven pedagogy. Recent work explores group learning dynamics in CS1 courses and automated feedback systems for programming education.

Ralf RomeikeView profile

Professor

• Artificial Intelligence Education
• Computer Science Education
• Data Literacy
• +7 more

Prof. Dr. Ralf Romeike is a Professor of Computer Science Education specializing in Didactics of Computer Science at the Free University of Berlin, within the Department of Mathematics and Computer Science. His office is located at Königin-Luise-Str. 24-26, Room 019, 14195 Berlin, where he holds consultation hours every Wednesday from 12-1 p.m. by appointment. Romeike's research focuses on innovative approaches to computer science education, with particular emphasis on artificial intelligence education, data literacy development, and constructionist learning methodologies. His work bridges theoretical educational frameworks with practical classroom applications, especially in teacher training contexts. He has developed numerous educational frameworks including AI-PACK, which adapts the DPACK model for AI-related digital competencies for teachers. His publication record shows a clear trend toward AI education in K-12 settings, teacher professional development in AI and data literacy, and the integration of constructionist principles in computing education. The research spans multiple educational contexts from primary through higher education, with particular attention to how non-computer science students and teachers can develop meaningful AI competencies. His scientific contributions include significant work on: AI literacy frameworks for school education Data literacy as a component of AI education Constructionist approaches to AI/ML learning Debugging education methodologies Agile methods in computer science education Romeike leads or participates in multiple significant research projects including ENKIS (Establishment of sustainable AI-related study programs), Digi4All (Interdisciplinary Digital Education), AMI (Agile Methods for Computer Science Education), and TrainDL (Teacher training for Data Literacy & Computer Science competences), demonstrating his leadership in shaping computer science education policy and practice in Germany and internationally.

Andrea De LuciaView profile

Professor

• Software Engineering
• Program Comprehension
• Software Security
• +3 more

Andrea De Lucia serves as Full Professor in the Department of Computer Science at the University of Salerno, Italy, maintaining an active research profile with office hours at Fisciano Campus (Building F2, Room 089) and correspondence via adelucia@unisa.it. His scholarly contributions span software engineering with particular emphasis on security, mobile systems, and emerging quantum applications. His research portfolio demonstrates evolving focus through distinct phases: 2018-2020 : Code smell analysis and mobile energy efficiency (e.g., Android energy consumption studies) 2021-2022 : Security vulnerability lifecycle and quantum software engineering foundations 2023-2025 : Ethical AI integration (fairness in ML engineering) and advanced exploit prediction Recent publications reveal strategic expansion into quantum-computing applications and AI ethics, maintaining core software engineering principles while addressing contemporary challenges in secure, reliable systems development. His work consistently bridges theoretical frameworks with empirical validation through large-scale studies. De Lucia actively contributes to the software engineering community as program committee member for premier conferences including ICSE, ASE, and ICSME across multiple years (2018-2026), demonstrating sustained leadership in the field.

Kai WarendorfView profile

Professor

• Intelligent Tutoring Systems
• Hypermedia Systems
• Fuzzy Logic
• +5 more

Kai Warendorf serves as a Professor at Esslingen University of Applied Sciences within the School of Engineering, Department of Computer Science and Engineering. He holds multiple administrative roles including Director of Internship Offices for four distinct Bachelor programs: Business Information Systems, Computer Engineering, Engineering Education Information Technology - Electrical Engineering, and Software Engineering and Media Computing. His research spans intelligent tutoring systems, hypermedia navigation, and educational technology. Key interests include constraint-based student modeling, fuzzy logic applications in education, algorithm animation techniques, and spatial hypermedia interfaces. His work bridges theoretical computer science with practical educational implementations, particularly through Java-based web technologies and multimedia systems. Publications reveal consistent focus on enhancing STEM education through visualization tools, with notable contributions in atomic reaction modeling (ARMVLS), data structure tutoring (ADIS), and spatial navigation (HyperMap). His research integrates cognitive principles with software engineering to create adaptive learning environments that address common student misconceptions. Professor Warendorf maintains active collaboration with international researchers, particularly in Singapore and Germany, focusing on practical implementations of educational technology in engineering curricula. His administrative leadership in internship coordination demonstrates commitment to industry-academia integration for undergraduate students.