What question did this study set out to answer?

To address repetitive and invalid patch generation in automated program repair by introducing a conversational framework that leverages immediate test feedback within large language models.

September 11, 2024Open Access

Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each using ChatGPT

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Authors

CXChunqiu Steven XiaUniversity of Illinois Urbana-Champaign LZLingming ZhangQinghai Provincial Peoples Hospital

Discussion

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Implication

Benchmarking study demonstrates conversational automated program repair resolves 162 of 337 bugs, indicating iterative feedback lowers software repair costs.

Key Points

To address repetitive and invalid patch generation in automated program repair by introducing a conversational framework that leverages immediate test feedback within large language models.
Developed ChatRepair, a conversational automated program repair approach using ChatGPT that iteratively incorporates test failure diagnostics and plausible patch variations into successive prompts.
Evaluated repair efficacy across 337 real-world software defects contained in the Defects4J benchmark suite (versions 1.2 and 2.0).
Correctly fixed 162 out of 337 total bugs, achieving 114 correct patches on Defects4J 1.2 and 48 correct patches on Defects4J 2.0.
Achieved state-of-the-art repair volume at an average operating cost of $0.42 per resolved bug using the ChatGPT model.

Cite This Study

Xia et al. (2024) studied this question.

synapsesocial.com/papers/69dd40027808b00a4799bbe0 https://doi.org/10.1145/3650212.3680323

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Implication

Benchmarking study demonstrates conversational automated program repair resolves 162 of 337 bugs, indicating iterative feedback lowers software repair costs.

Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each using ChatGPT

Discussion

Member takes

Implication

Key Points

Cite This Study

Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each using ChatGPT

Discussion

Member takes

Implication

Key Points

Cite This Study

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