Proceedings of the Third International Workshop on Automated Program Repair 2022
DOI: 10.1145/3524459.3527347
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Framing program repair as code completion

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Cited by 4 publications
(1 citation statement)
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“…Particularly, GAMMA attempts to address the donor code retrieval issue of traditional template-based APR (e.g., TBar [92]) and regards patch generation as a fill-in-the-blank task by querying LLMs to predict the correct code for masked tokens in a pre-defined fix pattern. Unlike the cloze-style APR, Ribeiro et al [123] frame the APR problem as a code completion task and apply CodeGPT to fix bugs from ManySStuBs4J [72].…”
Section: Semantic Bugsmentioning
confidence: 99%
“…Particularly, GAMMA attempts to address the donor code retrieval issue of traditional template-based APR (e.g., TBar [92]) and regards patch generation as a fill-in-the-blank task by querying LLMs to predict the correct code for masked tokens in a pre-defined fix pattern. Unlike the cloze-style APR, Ribeiro et al [123] frame the APR problem as a code completion task and apply CodeGPT to fix bugs from ManySStuBs4J [72].…”
Section: Semantic Bugsmentioning
confidence: 99%