29 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…
A Longitudinal Analysis of Good First Issue Practices and Newcomer Pull Requests in Popular OSS Projects
Hirotatsu Hoshikawa, Hidetake Tanaka, Kazumasa Shimari +2
Open-source software (OSS) projects rely on effective newcomer onboarding to sustain their communities. OSS projects widely adopt "good first issue" (GFI) labels to highlight begin…
Humans Integrate, Agents Fix: How Agent-Authored Pull Requests Are Referenced in Practice
Islem Khemissi, Moataz Chouchen, Dong Wang +1
Although coding agents have introduced new coordination dynamics in collaborative software development, detailed interactions in practice remain underexplored, especially for the c…
SmartPatchLinker: An Open-Source Tool to Linked Changes Detection for Code Review
Islem Khemissi, Moataz Chouchen, Dong Wang +1
In large software ecosystems, semantically related code changes, such as alternative solutions or overlapping modifications are often discovered only days after submission, leading…
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…
When is Generated Code Difficult to Comprehend? Assessing AI Agent Python Code Proficiency in the Wild
Nanthit Temkulkiat, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul +2
The rapid adoption of AI coding agents is fundamentally shifting software developers' roles from code authors to code reviewers. While developers spend a significant portion of the…