Qualitative analysis of 306 rejected AI-generated PRs reveals 14 rejection reasons in four categories, highlighting needs for better guidance on implementation, validation, and prioritization.
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A composable DSL for describing sampling workflows on code repositories enables explicit specification and statistical reasoning about the generalizability of empirical software engineering findings.
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Understanding the Rejection of Fixes Generated by Agentic Pull Requests -- Insights from the AIDev Dataset
Qualitative analysis of 306 rejected AI-generated PRs reveals 14 rejection reasons in four categories, highlighting needs for better guidance on implementation, validation, and prioritization.
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Modeling Sampling Workflows for Code Repositories
A composable DSL for describing sampling workflows on code repositories enables explicit specification and statistical reasoning about the generalizability of empirical software engineering findings.