Software Component Reuse and Open Source Systems Professors and Supervisors

Gail Murphyمشاهده پروفایل

استاد

University of British ColumbiaCanada

Gail Murphy is a Professor in the Department of Computer Science and Vice-President Research & Innovation at the University of British Columbia (UBC). A co-founder of Tasktop Technologies Incorporated, she leads the Software Practices Lab and is affiliated with CAIDA (Centre for Artificial Intelligence Decision-making and Action) and ICICS (UBC Institute for Computing, Information and Cognitive Systems). B.Sc. (Honours), University of Alberta (1987) M.Sc., University of Washington (1994) Ph.D., University of Washington (1996) Her research focuses on software engineering , particularly improving knowledge worker productivity and tools for evolving large-scale systems. She combines lightweight design approaches with industrial evaluations, addressing structural degradation in software systems through: Techniques for understanding/imposing structure in existing systems Design approaches for component reuse and flexible architectures Her recent work includes developer discussion analysis for design recovery (2022), semantic-based task relevance detection (2022), and automated resource-task association (2023). Awards include SIGSOFT Outstanding Research Award (2023), ACM Fellow (2023), and Royal Society of Canada Fellow (2023). She has taught courses like Introduction to Software Engineering (CPSC 310) and Software Construction (CPSC 210).

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Thomas Leichمشاهده پروفایل

استاد

Hochschule HarzGermany

Prof. Dr.-Ing. Thomas Leich holds the Volkswagen Financial Services Endowed Professorship for Business Informatics, specifically Requirements Engineering, at Harz University of Applied Sciences. He is affiliated with the Faculty of Automation and Information, focusing on software variability and configurable systems. University: Harz University of Applied Sciences School: Faculty of Automation and Information Academic Rank: Professor Research Interests span software product line engineering, IT security, Industry 4.0, and feature-oriented programming. His work bridges academic innovation with industrial applications, particularly in secure and scalable systems for automotive and enterprise contexts. Recent Publications emphasize security in configurable systems, empirical software engineering studies, and automotive platform management. Articles often involve collaborations with teams at Otto von Guericke University and international institutions. Scientific Awards include the Hugo Junkers Research Award (2013), the Wissenschaftspreis der Wernigeröder Stadtwerkestiftung (2017), and the 2012 Faculty Research Award from the University of Magdeburg. Supervision of over 20 theses since 2008, spanning topics in ERP security, program comprehension, and embedded systems. He leads the EXPLANT project, funded by DFG, and contributes to FeatureIDE , an extensible framework for feature-oriented development.

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Stephen Edwardsمشاهده پروفایل

استاد

Virginia Polytechnic Institute and State UniversityUnited States

Stephen Edwards is a Professor and Associate Department Head for Undergraduate Studies in the Department of Computer Science at Virginia Tech. He holds a B.S. in Electrical Engineering from Caltech and M.S./Ph.D. in Computer Science from Ohio State University. His research focuses on computer science education, automated testing, and software engineering pedagogy, emphasizing tools like Web-CAT and CodeWorkout. Education: B.S., Electrical Engineering, California Institute of Technology M.S., Computer and Information Science, The Ohio State University Ph.D., Computer and Information Science, The Ohio State University Research Interests: Automated grading systems (Web-CAT) Programming education tools (CodeWorkout) Test-driven development methodologies Educational data mining and feedback mechanisms Recent work emphasizes adaptive feedback strategies, gamification in learning, and equitable grading practices. Over 4 million student submissions have been processed via Web-CAT, demonstrating impact at 39 universities. Collaborative projects like SPLICE aim to standardize educational infrastructure. Advising/grants: Active in mentoring students across all levels, focusing on research topics like Dockerized deployment of educational tools and parameterized programming exercises. No explicit grant details are listed here. Labs/teams: Leads the Web-CAT project and CodeWorkout development teams, fostering open-source educational tools.

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Sebastien Mosserمشاهده پروفایل

دانشیار

McMaster UniversityCanada

Sebastien Mosser is an Associate Professor of Software Engineering at McMaster University's Faculty of Engineering , affiliated with the McSCert Lab . He is a licensed Professional Engineer (PEng) in Ontario and contributes to research in software composition, domain-specific languages, and model-driven engineering with applications in safety-critical systems and DevOps. Education: Ph.D., Computer Science, Université Nice - Sophia Antipolis (2010) M.Sc., Software Engineering, Université Nice - Sophia Antipolis (2007) Postdoctoral Fellow, Inria Lille-Nord Europe (2011) His research interests span software composition, domain-specific languages, and variability management, with applications in machine learning pipelines, cyber-physical systems, and DevOps. He focuses on creating safety models for non-critical domains, improving requirements engineering practices, and exploring language server protocols for better developer experience. Recent work includes jPipe , a domain-specific language for justification diagrams. Recent publications explore topics like polyglot software development, microservice traceability, and functional feasibility analysis in variability-intensive systems. A recurring theme in his work is the intersection of software architecture, modeling, and safety considerations in diverse application areas. Scientific Awards: Best Reviewer Award (2024, MODELS) Best Reviewer Award (2021, MODELS) Best Paper Award (2018, SAC) Prime d'Encadrement Doctoral et de Recherche (2015-2019) As an educator, he has taught courses on microservice architectures, software requirements, and software design. He actively contributes to MDE teaching initiatives and has developed open-source tools like jPipe and Island for educational purposes.

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Greg Kulczyckiمشاهده پروفایل

دانشیار

Virginia Polytechnic Institute and State UniversityUnited States

Greg Kulczycki is an Associate Professor in the Department of Computer Science at Virginia Polytechnic Institute and State University (Virginia Tech) , part of the College of Engineering . His research focuses on digital education , formal methods in software development, and bridging industry-academia collaboration in software engineering education. He earned his Ph.D. in Computer Science from Clemson University in 2004. Key research interests include: Formal verification of software components and systems Web services and transactional service composition Software reuse and productivity enhancement Industrial practices in web application development Recent publications emphasize formal methods for error detection, education-industry partnerships, and optimizing mobile network performance. His work often intersects computational linguistics (e.g., term extraction) and data-centric service design. No scientific awards or student advising information is listed in the available data.

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Bernd Fischerمشاهده پروفایل

استاد

Stellenbosch UniversitySouth Africa

Bernd Fischer is a Professor and current Head of Division in the Division of Computer Science at Stellenbosch University, South Africa. He has previously worked at TU Braunschweig, NASA Ames Research Center, and University of Southampton. His academic journey includes a PhD from Universität Passau (defended June 1, 2001). Professor Fischer's research focuses on automated software engineering with particular emphasis on logic-based techniques. His work spans specification-based component reuse, program synthesis, program verification (including annotation inference, software model checking, and human-oriented presentation of verification results), and innovative visualization approaches like tag clouds over concept lattices. His research has led to significant contributions in concurrent program verification, fault localization, and software repository analysis. Analysis of his recent publications reveals strong trends in software verification, particularly in concurrent systems and model checking. His work has consistently focused on developing practical verification tools (CSeq, ESBMC) that have achieved top rankings in international verification competitions. He has also pioneered visualization techniques for software repositories and academic data exploration using concept lattices and tag clouds. His scientific achievements have been recognized with multiple awards including Best Paper Award at ASE 1998, ASE 2012 Most Influential Paper Award, ACM Distinguished Paper Award (2011), Best Presentation Award at SAFECOMP 2010, and multiple Gold and Silver medals in the International Competition on Software Verification (SV-COMP) in 2014, 2015, and 2016. Professor Fischer has successfully supervised numerous PhD and Master's students, both at Stellenbosch University and previously at University of Southampton. His service to the academic community includes committee memberships in IFIP TC-2 Working Group on Program Generation (since 2004), ASE steering committee (since 2007), and GPCE steering committee (since 2011). He has served as General Chair for SPIN 2015 and GPCE'16, and as Program Committee Chair for GPCE 2009 and ASE 2007. His research group has developed several notable tools including AutoBayes (for automatic generation of data analysis programs), ConceptCloud (for browsing software archives), CSeq (a concurrency pre-processor for sequential C verification), and ESBMC (a model checker for C and C++ programs).

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Mehmet Bermekمشاهده پروفایل

مدرس پاره‌وقت

Georgia Institute of TechnologyUnited States

Mehmet Bermek serves as a Part-Time Lecturer with a focus on sustainable engineering and material innovation. His research emphasizes repurposing decommissioned wind turbine components, particularly FRP blades, for civil infrastructure applications such as utility poles and power-line towers. He also explores digital design methodologies for engineered timber buildings, including CLT (Cross-Laminated Timber) framing and BIM (Building Information Modeling) integration. His work bridges renewable energy, materials science, and civil engineering to promote circular economy principles in construction. Key research areas include structural reuse of wind turbine blades, second-life applications of composite materials, and automation in sustainable building design. Bermek's contributions address challenges in recycling renewable energy infrastructure while enhancing the efficiency of timber construction systems. He has published extensively on topics ranging from point cloud-based blade geometry reconstruction to BIM user-centric design frameworks. His research trends reflect a commitment to environmental sustainability and technological innovation. Despite no listed awards or grants, his work aligns with global efforts to reduce industrial waste and advance green infrastructure solutions.

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Gregory Vialمشاهده پروفایل

دانشیار

HEC MontréalCanada

Gregory Vial is an Associate Professor in the Department of Information Technology at HEC Montréal. He holds a Ph. D. in Administration and an M. Sc. in Information Technology from HEC Montréal, alongside a Bachelor of Commerce from McGill University. Education: Ph. D. in Administration, HEC Montréal M. Sc. in Information Technology, HEC Montréal Bachelor of Commerce, McGill University Research Interests: Vial’s work focuses on digital transformation, data governance, artificial intelligence project management, software reuse, and data privacy. He explores how organizations navigate challenges in adopting AI, managing data湖 governance in digital innovation, and balancing privacy with utility in data release strategies. His research also emphasizes the application of complex adaptive systems theory to software development and the ethical implications of technology adoption. Articles Trends: Recent publications highlight interdisciplinary approaches to data privacy, AI implementation barriers, and post-agile methodologies. He frequently collaborates with industry partners like Banque Nationale du Canada and Desjardins, addressing real-world challenges in data management and technology integration. Awards: No scientific awards explicitly mentioned in the text. Advising & Grants: Vial has supervised 3 Master’s theses and 33 directed projects, often co-supervised with colleagues like Ann-Frances Cameron and Jean-François Plante. His projects span industries including finance, healthcare, and e-commerce, focusing on data湖 quality, cloud infrastructure, and user experience optimization. While grants are not detailed, his research aligns with translational goals, bridging academic insights and practitioner needs. Labs/Teams: Collaborates with multidisciplinary teams on AI consulting firm case studies and data governance projects, though specific lab affiliations are not mentioned.

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Claudio Benghiمشاهده پروفایل

استادیار

Northumbria UniversityUnited Kingdom

Claudio Benghi is an Assistant Professor in the Architecture and Built Environment Department at Northumbria University. He holds a PhD in Engineering awarded in March 2004. His research focuses on Building Information Modeling (BIM), optimization algorithms, interoperability in construction technologies, and sustainability in construction. Key areas include geometric optimization of BIM models, collaborative workflows in construction projects, and development of interoperable BIM software tools like the xBIM Toolkit. Dr. Benghi has produced 18 research outputs including peer-reviewed articles, book chapters, and conference papers. His work addresses challenges in MEP project optimization, IFC model validation, and digital plan of work automation. He collaborates with international researchers on projects like geometric optimization algorithms and constraints in BIM component design. His contributions span theoretical advancements and practical tools, such as the XBIM.Essentials library for interoperable applications. Recent research emphasizes circularity data integration in BIM standards and leveraging big data for construction value optimization. His publications highlight trends in BIM interoperability, AI applications in interactive art installations, and 5D modeling systems linking cost, schedule, and 3D models. He actively participates in conferences and journals like Automation in Construction and The Journal of Open Source Software. Notable projects include longitudinal interoperability tests for BIM components and automated verification of collaborative workflows. His work bridges civil engineering, computer science, and construction management to advance digital construction practices and sustainable building strategies.

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André Leal Santosمشاهده پروفایل

استادیار

ISCTE-IULPortugal

André Leal Santos is an Assistant Professor at ISCTE - Instituto Universitário de Lisboa, affiliated with the Department of Information Science and Technology (ISTA) and the ISTAR-Iscte research center. He holds a PhD in Computing from the University of Lisbon (2009), co-supervised with Tampere University of Technology, and a Bachelor's degree in Computing from the same institution. His research focuses on the human aspects of software development, particularly in programming education and API usability. Key areas include pedagogical tools, automatic assessment systems, projectional editors, domain-specific languages, and software maintenance. He has developed tools like PandionJ, a pedagogical debugger for Java, and authored a digital book on Kotlin programming. His recent publications reflect a consistent focus on improving developer and learner experiences through innovative software tools and educational methodologies. Themes include API learning support, automated component integration, programming pedagogy, and empirical studies on software development practices. Scientific engagement highlights: Visiting researcher at Carnegie Mellon University (2014) under CMU-Portugal program with Brad Myers Visiting researcher at Aalto University (2020) with Lauri Malmi in LeTech Organizer of ICPEC’24 Program Committee member for ITiCSE, Koli Calling (2017–2023), SPLASH-E’24 Member of the International Committee of the SIGSCE Technical Symposium Participant in the Dagstuhl Seminar on Notional Machines He advises PhD students Afonso Caniço and Ricardo Miranda, and has supervised MSc students. His work bridges academic research and practical applications in both educational and professional software development contexts. He is actively involved in open-source development, with projects hosted on GitHub, and maintains a strong presence in the computing education research community.

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Olivier Gendreauمشاهده پروفایل

مدرس

Polytechnic School of MontrealCanada

Olivier Gendreau serves as a Lecturer in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he has established himself as an accomplished educator and researcher in software engineering and virtual reality applications. His work spans both theoretical research in knowledge management within software development processes and practical applications in engineering education. Department of Computer Engineering and Software Engineering, Polytechnique Montréal Primary research center: New Frontiers in Information and Communications Technologies Secondary research centers: Modeling and Artificial Intelligence; Industry of the Future and Digital Society Professor Gendreau's research focuses on the intersection of software engineering practices, knowledge management, and virtual reality applications. His work examines how knowledge flows and is converted during software development processes, with particular attention to quality control practices, documentation validation, and the application of virtual reality technologies. He has published extensively on integrative learning approaches that bridge academic theory with professional practice in software engineering. Analysis of Professor Gendreau's publication record reveals a consistent focus on knowledge management in software development, with significant contributions to understanding knowledge acquisition, flow, and conversion processes. His work frequently employs case study methodology to examine practical applications in quality control, component reuse, and verification/validation techniques. More recently, his research has expanded into virtual reality applications and ecological identity in workplace contexts, showing an evolving research trajectory that maintains its core focus while expanding into new application areas. 2020 - Excellence in Teaching Award from Polytechnique Montréal ($10,000) Professor Gendreau has developed and supervised numerous integrative projects for computer and software engineering students at Polytechnique Montréal, including both second-year and third-year projects designed to facilitate students' transition to the professional workforce. His teaching emphasizes practical, industry-relevant experiences that prepare students for real-world challenges in software development. His work with student teams participating in competitions like Laval Virtual demonstrates his commitment to providing students with opportunities to apply their knowledge in competitive, real-world settings.

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Bernd Fischerمشاهده پروفایل

استاد

Max Planck Institute for Security and PrivacyGermany

Bernd Fischer is a Professor and the current Head of Division in the Division of Computer Science at Stellenbosch University, South Africa. Previously, he held positions at TU Braunschweig, NASA Ames Research Center, and University of Southampton, establishing a strong international academic background in software engineering and formal methods. Professor Fischer's research focuses on automated software engineering, particularly logic-based techniques. His work spans specification-based component reuse, program synthesis, and program verification, with current emphasis on annotation inference, software model checking, and human-oriented presentation of verification results. His research bridges theoretical foundations with practical applications, particularly in concurrent program verification, grammar-based testing, and fault localization techniques. His work has significant implications for improving software reliability and developer productivity. Analysis of his recent publications reveals a strong focus on concurrent program verification through lazy sequentialization techniques, with substantial contributions to tools like CSeq and ESBMC. His research demonstrates consistent innovation in software verification, particularly in addressing the challenges of concurrency, bounded model checking, and fault localization. The interdisciplinary nature of his work connects theoretical computer science with practical software engineering challenges. ASE 2012 Most Influential Paper Award ACM Distinguished Paper Award Best Presentation Award Professor Fischer has successfully advised PhD students including Gillian Greene, who defended her thesis on "Concept-Based Exploration of Rich Semi-Structured Data Collections," and Geoff Birch, who completed work on "Fast, Fully-Automated, Model-Based Fault Localisation and Repair with Test Suites as Specification." His mentoring approach integrates theoretical rigor with practical tool development. His research has been supported through various academic grants enabling the development of multiple software verification tools. Professor Fischer leads development of several important software engineering tools including AutoBayes for statistical program synthesis, ConceptCloud for interactive visualization of software repositories, CSeq for concurrent program verification, and ESBMC for software model checking. These tools represent significant contributions to the software engineering research community and have been recognized in international verification competitions.

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Thomas Degueuleمشاهده پروفایل

پژوهشگر

Max Planck Institute for Security and PrivacyGermany

Thomas Degueule is a researcher at CNRS (Centre National de la Recherche Scientifique) in France, actively contributing to software engineering research since 2015. He serves on program committees for major conferences including ASE, ICSE, and SLE, with primary research interests in Software Evolution, Empirical Software Engineering, and Domain-Specific Languages. His work focuses on breaking change analysis in APIs and libraries, client-library compatibility testing, and dependency management. He develops practical tools like Roseau for source-based breaking change detection and investigates semantic versioning impacts in ecosystems like Maven Central. His empirical approach leverages large-scale repository analysis to address real-world software maintenance challenges, particularly in Java ecosystems. Recent publications (2023-2025) show consistent contributions to breaking change analysis and compatibility testing, appearing in top venues like ASE, ICSE, and ISSTA. His research bridges theoretical insights with practical tooling for software evolution challenges, demonstrating strong empirical methodology and tool-oriented contributions. No scientific awards are documented in the available information. Degueule has advised no publicly listed students and holds no mentioned research grants. His organizational roles include Program Co-Chair for SLE 2023 and committee positions across multiple conferences, reflecting significant service to the software engineering community.

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