13 papers
Maintenance Signals in AI-Assisted GitHub Repositories: Evidence from GenAI Adopters
Rikuto Tsuchida, Youmei Fan, Kazumasa Shimari +3
Generative artificial intelligence (GenAI) can reduce code-generation effort, but it may shift work to documentation, validation, debugging, and maintenance. We study observable ma…
Why Are Agentic Pull Requests Merged or Rejected? An Empirical Study
Sien Reeve O. Peralta, Fumika Hoshi, Hironori Washizaki +8
AI coding agents increasingly submit pull requests (Agentic-PRs) to open-source repositories, yet their performance is commonly assessed using merge and rejection outcomes alone. W…
Self-Admitted GenAI Usage in Open-Source Software
Tao Xiao, Youmei Fan, Fabio Calefato +4
Strategized LaTeX removal and whitespace normalization approachThe widespread adoption of generative AI (GenAI) tools such as GitHub Copilot and ChatGPT is transforming software de…
How AI Coding Agents Communicate: A Study of Pull Request Description Characteristics and Human Review Responses
Kan Watanabe, Rikuto Tsuchida, Takahiro Monno +5
The rapid adoption of large language models has led to the emergence of AI coding agents that autonomously create pull requests on GitHub. However, how these agents differ in their…
Forecasting Developer Environments with GenAI: A Research Perspective
Raula Gaikovina Kula, Christoph Treude, Xing Hu +28
Generative Artificial Intelligence (GenAI) models are achieving remarkable performance in various tasks, including code generation, testing, code review, and program repair. The ab…
Exploring the SECURITY.md in the Dependency Chain: Preliminary Analysis of the PyPI Ecosystem
Chayanid Termphaiboon, Raula Gaikovina Kula, Youmei Fan +4
Security policies, such as SECURITY.md files, are now common in open-source projects. They help guide responsible vulnerability reporting and build trust among users and contributo…