Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering 2022
DOI: 10.1145/3551349.3556914
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Cited by 8 publications
(4 citation statements)
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“…Therefore, there should be a strong correlation between the text of issues and commit messages. Tian et al [29] has validated the existence of this correlation from the perspective of semantic similarity. They used BERT [39] to embed text in the semantic space.…”
Section: A Correlation Between Commits and Issuesmentioning
confidence: 87%
See 1 more Smart Citation
“…Therefore, there should be a strong correlation between the text of issues and commit messages. Tian et al [29] has validated the existence of this correlation from the perspective of semantic similarity. They used BERT [39] to embed text in the semantic space.…”
Section: A Correlation Between Commits and Issuesmentioning
confidence: 87%
“…It can always guide developers in writing concise and descriptive commit messages. Therefore, commits and issues are always highly correlated [29], [30], [31]. However, none of the existing automatic commit message generation approaches leveraged this correlation.…”
Section: Introductionmentioning
confidence: 99%
“…Ref. [17] discusses the validity threats in an empirical study on ChatGPT's programming capabilities and the steps taken to mitigate them. To combat the inherent randomness in ChatGPT's responses, the study averaged results from multiple queries and used a large dataset for program repair to minimize variability.…”
Section: Related Workmentioning
confidence: 99%
“…Similar to Tian et al [137], they utilize CodeBERT to extract code features and train a classifier for prediction. Unlike the above studies calculating similarities of patches, Tian et al [139] formulate APCA as a question-answering (QA) problem and propose Quatrain. Quatrain first utilizes CodeBERT to encode bug reports and patch descriptions and trains a QA model for prediction.…”
Section: How Are Llms Used To Support Patch Correctness?mentioning
confidence: 99%