A Quantitative Analysis of Agentic Pull Requests Across Languages and Task Types
收藏DataCite Commons2025-12-19 更新2026-04-25 收录
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https://figshare.com/articles/dataset/A_Quantitative_Analysis_of_Agentic_Pull_Requests_Across_Languages_and_Task_Types/30918845/1
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资源简介：
This study presents a quantitative study of AI-generated Pull Requests (Agentic-PRs) to examine acceptance rates, commit structure, and reviewer interactions across 10 programming languages and 12 task types. For analysis, we use the AIDEV_POP dataset, which contains over 456,000 PRs by five AI agents in 61,000 popular GitHub repositories.
提供机构：
figshare
创建时间：
2025-12-19
