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CC2Vec: distributed representations of code changes
Open accessAbstract
Existing work on software patches often use features specific to a single task. These works often rely on manually identified features, and human effort is required to identify these features for each task. In this work, we propose CC2Vec, a neural network model that learns a representation of code changes guided by their accompanying log messages, which represent the semantic intent of the code changes. CC2Vec models the hierarchical structure of a code change with the help of the attention mechanism and uses multiple comparison functions to identify the differences between the removed and added code.
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Method
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Cited by
An extensive study on pre-trained models for program understanding and generation
Zeng, Z., Tan, H., Zhang, H., Li, J., Zhang, Y., & Zhang, L. (2022) · Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis · doi:10.1145/3533767.3534390 · Cited by 153
CCT5: A Code-Change-Oriented Pre-trained Model
Lin, B., Wang, S., Liu, Z., Liu, Y., Xia, X., & Mao, X. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering · doi:10.1145/3611643.3616339 · Cited by 69
FIRA: fi ne-grained g ra ph-based code change representation for automated commit message generation
Dong, J., Lou, Y., Zhu, Q., Sun, Z., Li, Z., Zhang, W., & Hao, D. (2022) · Proceedings of the 44th International Conference on Software Engineering · doi:10.1145/3510003.3510069 · Cited by 61
CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code
Eghbali, A., & Pradel, M. (2022) · Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering · doi:10.1145/3551349.3556903 · Cited by 42
Exploring the Capabilities of LLMs for Code-Change-Related Tasks
Fan, L., Liu, J., Liu, Z., Lo, D., Xia, X., & Li, S. (2025) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3709358 · Cited by 41
“Call message.set_message_booleans() in update_messages().”
Self-citation
Metadata
- Authors
- Hoang, T., Kang, H. J., Lo, D., & Lawall, J.
- Venue
- Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering
- Publisher
- ACM
- Published
- 2020-06-27
- Pages
- 518-529
- OpenAlex
- W3011013751
- Cited by
- 174
- References
- 2
- FWCI
- 20.24
- Type
- conference paper
- Language
- en
- Open access
- green
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