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AI agentic program repair generates bug fixes and tests simultaneously

By PulseAugur Editorial · [1 sources] ·

Researchers have explored the concept of "dynamic cogeneration" in agentic program repair, where an AI system simultaneously generates both a bug fix and a bug reproduction test (BRT). This approach aims to increase developer confidence in AI-generated patches by including a BRT directly within the fix. Experiments on 120 bugs at Google showed that this cogeneration strategy can generate BRTs for a significant number of bugs without negatively impacting the rate of plausible fixes, thereby streamlining the development process. AI

IMPACT Streamlines AI-assisted software development by integrating bug fix and test generation.

RANK_REASON Research paper detailing a new technique for agentic program repair. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI agentic program repair generates bug fixes and tests simultaneously

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Research paper detailing a new technique for agentic program repair. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [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 ·

    Dynamic Cogeneration of Bug Reproduction Test in Agentic Program Repair

    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…

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