2 papers
cs.SE2026
PreMaQ: Predicting Maintainability-Related Quality of LLM-Generated Code Before Generation
Taiki Wakamatsu, Yuta Ishimoto, Masanari Kondo +1
As large language models (LLMs) become increasingly capable of code generation, adopting generated code in software development requires assessing not only its functional correctne…
cs.SE2026
Let's Make Every Pull Request Meaningful: An Empirical Analysis of Developer and Agentic Pull Requests
Haruhiko Yoshioka, Takahiro Monno, Haruka Tokumasu +4
The automatic generation of pull requests (PRs) using AI agents has become increasingly common. Although AI-generated PRs are fast and easy to create, their merge rates have been r…