From Commit Message Generation to History-Aware Commit Message Completion
Author:
Affiliation:
1. JetBrains Research,Republic of Serbia
2. JetBrains,Germany
3. JetBrains Research,Republic of Cyprus
4. jetBrains Research, University of Colorado Boulder,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10298258/10298286/10298339.pdf?arnumber=10298339
Reference70 articles.
1. CoreGen: Contextualized Code Representation Learning for Commit Message Generation
2. Detecting and Characterizing Bots that Commit Code
3. Commit Message Generation for Source Code Changes
4. On the accuracy of bot detection techniques
5. On the Evaluation of Commit Message Generation Models: An Experimental Study
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1. Unprecedented Code Change Automation: The Fusion of LLMs and Transformation by Example;Proceedings of the ACM on Software Engineering;2024-07-12
2. KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation;ACM Transactions on Software Engineering and Methodology;2024-06-04
3. Commit Message Generation via ChatGPT: How Far Are We?;Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering;2024-04-14
4. CommitBench: A Benchmark for Commit Message Generation;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12
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