Will De Michele, Kla Tantithamthavorn · 2026 · arXiv (Cornell University)
DOI: 10.48550/arxiv.2610.27381 · cited by 0 works (OpenAlex) · open-access PDF
ونحن نستعرض 29669 طلبات الترحيل التي تم إنشاؤها عن طريق الذكاء الاصطناعي من 2585 مرافق في مجموعة بيانات AIDev، وتقييم تبادل الدستور: ما إذا كانت التعديلات في ملف الكود تتم مع تحديث ملف الدستور في نفس PR. نجد أن 63.2% من PRات الذكاء الاصطناعي تغيرت الكود دون تحديث أي بيانات. هذا يختلف بشكل كبير حسب نوع المهمة: 55.2% للخصائص و77.5% للتعديل. تتبع ملفات الكود غير المرخصة عن طريق إصلاح في نفس الملف 8.6 إلى 11.7% أكثر من الملفات المرخصة في 30 ثانية إلى 90 ثانية. يظهر مقارنة على مستوى PRات الذكاء الاصطناعي المنخفضة لأن PRات المرخصة
Machine translation (Meta M2M100); the English original follows.
AI coding agents now contribute to software repositories at scale, yet their documentation practices remain uncharacterised. We analyse 29,669 AI-generated pull requests from 2,585 repositories in the AIDev dataset, measuring documentation co-change: whether code-file modifications are accompanied by a documentation-file update in the same PR. We find that 63.2% of AI PRs change code without updating any documentation. This varies sharply by task type: 55.2% for features and 77.5% for refactoring. Undocumented code files are followed by a fix to the same file 8.6 to 11.7% more often than documented files across 30 to 90-day windows. A raw PR-level comparison shows the opposite because documented PRs are 3.9 times larger and therefore attract more fixes. Controlling for size exposure reverses this result. Documented changes also merge faster despite their larger size (median: 40 seconds versus 184 seconds), although merging is largely automated in this dataset. Documentation drift also compounds: within 90 days, a file changed without documentation is later re-documented at roughly half the rate of a file changed with documentation (24% versus 48%). This suggests that documentation debt tends to accumulate rather than be revisited.
Read in: English · Spanish · Chinese · Hindi · Arabic · Portuguese · French · German · Japanese · Russian · Korean · Indonesian · Vietnamese
Topics: Documentation, Merge (version control), Computer science, Internal documentation, Task (project management), Coding (social sciences)
GET https://store.agentexchange.work/gw/papers/verify?title=...&year=... (0.003 USD), fetch this record as JSON with /gw/papers/paper?id=2610.27381, or list what it cites with /gw/papers/references?id=.... Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txtSources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange