Alexander Serebrenik

Alexander Serebrenik is a Full Professor of Social Software Engineering at Eindhoven University of Technology (TU/e), within the Department of Mathematics and Computer Science. He specializes in empirical software engineering, focusing on the socio-technical aspects of software development. His research bridges computer science and organizational psychology, emphasizing observation and experimentation. Serebrenik holds a PhD from KU Leuven and an MSc from the Hebrew University of Jerusalem. He has held academic positions across Europe, including postdoctoral roles in Belgium and France. Notably, he served as a part-time visiting researcher at CWI until 2017. His work includes over 100 publications, including co-authoring the book Evolving Software Systems. He actively contributes to conference organization and editorial boards, receiving multiple best paper and distinguished reviewer awards. Current teaching includes courses on empirical methods and software engineering. His research explores developer interactions with bots, gender diversity in GitHub teams, and strategies for veteran women developers. He advocates for integrating human factors into software tools and workflows.

Education Background: PhD in Computer Science (KU Leuven), MSc in Computer Science (Hebrew University), with postdoctoral and visiting roles at Ecole Polytechnique (France), University of Mons, and University of Bari.

Research Interests: Social Software Engineering, Human-Computer Interaction in Development, Empirical Methods, Technical Debt, Diversity in Tech, Bot Integration, and Open Source Communities.

Key Publications Trends: Recent works focus on GitHub bots' autonomy preferences, veteran women developers' experiences, and dependency security tools like Dependabot. Themes emphasize human factors, collaboration dynamics, and ethical software practices.

• Scientific Awards: Best Paper Awards, Distinguished Reviewer Awards, IEEE Senior Membership
• Advising & Grants: Active in mentoring and securing grants for empirical software engineering projects

Labs/Teams: Leads the Social Software Engineering group at TU/e, collaborating on projects like PerfBot for performance assessment and LaMa for thematic labeling.