We are a research group in the Department of Computer Science at Virginia Tech. Our research explores empirical, interdisciplinary, and automated approaches to improve the behavior, productivity, decision-making of software engineers.
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Exploring the Evidence-Based SE Beliefs of Generative AI Tools. Brown, Cusati. ESEM Emerging Results and Vision. 💡 Conceptual replication exploring the evidence-based SE beliefs of generative AI tools
The Evolution of Information Seeking in Software Development: Understanding the Role and Impact of AI Assistants. Al Haque, Brown, LaToza, Johnson. HumanAISE 2025. 💡 Explored the impact of AI tools on how developers seek information in SE work
DevCoach: Supporting Students Learning the Software Development Life Cycle with a Generative AI powered Multi-Agent System. Wang, Trimble, Brown. FSE SEET. 💡A system to help students gain practical experience in SDLC tasks with AI agents
How do Software Engineering Candidates Prepare for Technical Interviews? Bell, Thomas, Lee, Brown. FSE SEET. 💡Insights on candidates' preparation strategies and how CS education can help
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