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A commit message is a textual description of the code changes in a commit, which is a key part of the Git version control system (VCS).
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K. Papineni, S. Roukos, T. Ward, and W.-J. Zhu, “Bleu: a method for automatic evaluation of machine translation,” in Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL) . ACL, 2002, pp. 311–318
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C.-Y. Lin, “Rouge: a package for automatic evaluation of summaries,” in Proceedings of the Workshop on Text Summarization Branches Out (WAS) . ACL, 2004, pp. 74–81
2004
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M. Linares-Vásquez, L. F. Cortés-Coy, J. Aponte, and D. Poshyvanyk, “Changescribe: A tool for automatically generating commit messages,” in Proceedings of 37th IEEE/ACM International Conference on Software Engineering (ICSE) . ACM, 2015, pp. 709–712
2015
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S. Jiang, A. Armaly, and C. McMillan, “Automatically generating commit messages from diffs using neural machine translation,” in Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE) . IEEE, 2017, pp. 135–146
2017
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P. Loyola, E. Marrese-Taylor, and Y. Matsuo, “A neural architecture for generating natural language descriptions from source code changes,” in Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL) . ACL, 2017, pp. 287–292
2017
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S. Jiang and C. McMillan, “Towards automatic generation of short summaries of commits,” in Proceedings of the 25th IEEE/ACM International Conference on Program Comprehension (ICPC) . IEEE, 2017, pp. 320–323
2017
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Z. Liu, X. Xia, A. E. Hassan, D. Lo, Z. Xing, and X. Wang, “Neural-machine-translation-based commit message generation: How far are we?” in Proceedings of the 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE) . ACM, 2018, pp. 373–384
2018
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S. Xu, Y. Yao, F. Xu, T. Gu, H. Tong, and J. Lu, “Commit message generation for source code changes,” in Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI) . IJCAI, 2019, pp. 3975–3981
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, and I. Sutskever, “Language models are unsupervised multitask learners,” OpenAI Blog , vol. 1, no. 8, pp. 1–24, 2019
2019
Later among the works it cites.
W. Tao, Y. Wang, E. Shi, L. Du, S. Han, H. Zhang, D. Zhang, and W. Zhang, “On the evaluation of commit message generation models: An experimental study,” in Proceedings of the 37th IEEE International Conference on Software Maintenance and Evolution (ICSME) . IEEE, 2021, pp. 126–136
2021
Later among the works it cites.
2022
Later among the works it cites.
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2019
Cited alongside, same era.
Q. Liu, Z. Liu, H. Zhu, H. Fan, B. Du, and Y. Qian, “Generating commit messages from diffs using pointer-generator network,” in Proceedings of the 16th IEEE/ACM International Conference on Mining Software Repositories (MSR) . IEEE, 2019, pp. 299–309
2019
Cited alongside, same era.
2023
Later among the works it cites.
L. Zhang, J. Zhao, C. Wang, and P. Liang, “Replication Package of the Paper: Using Large Language Models for Commit Message Generation: A Preliminary Study,” Nov. 2023. [Online]. Available: https://doi.org/10.5281/zenodo.10164356
2023
Later among the works it cites.