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English(EN) Dynamic Cogeneration of Bug Reproduction Test in Agentic Program Repair

AI Agentic程序修复可同时生成 Bug 修复和测试

研究人员探索了 Agentic 程序修复中的“动态协同生成”概念,即 AI 系统同时生成 Bug 修复和 Bug 繁殖测试 (BRT)。此方法旨在通过直接在修复中包含 BRT 来提高开发者对 AI 生成补丁的信心。在 Google 对 120 个 Bug 进行的实验表明,这种协同生成策略可以在不影响合理修复率的情况下为大量 Bug 生成 BRT,从而简化开发流程。 AI

影响 通过集成 Bug 修复和测试生成,简化了 AI 辅助软件开发。

排序理由 详细介绍 Agentic 程序修复新技术的 ist 研究论文。 [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI Agentic程序修复可同时生成 Bug 修复和测试

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详细介绍 Agentic 程序修复新技术的 ist 研究论文。 [lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Runxiang Cheng, Michele Tufano, Jos\'e Cambronero, Renyao Wei, Sherry Shi, Grant Uy, Pat Rondon, Franjo Ivan\v{c}i\'c ·

    Agentic程序修复中Bug复现测试的动态协同生成

    arXiv:2601.19066v3 Announce Type: replace-cross Abstract: Bug Reproduction Tests (BRTs) have been used in many Automated Program Repair (APR) systems, primarily for validating fixes and aiding fix generation. In practice, when developers submit a patch, they often implement the B…