UTANGO: untangling commits with context-aware, graph-based, code change clustering learning model-Reference-Cited by-同舟云学术

UTANGO: untangling commits with context-aware, graph-based, code change clustering learning model

Published:2022-11-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
language:
Short-container-title:

Author:

Li Yi¹,Wang Shaohua¹,Nguyen Tien N.²

Affiliation:

1. New Jersey Institute of Technology, USA

2. University of Texas at Dallas, USA

Funder

National Science Foundation

National Security Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3540250.3549171

Reference28 articles.

1. 2021. The NNI autoML tool. https://github.com/microsoft/nni 2021. The NNI autoML tool. https://github.com/microsoft/nni

2. 2022. T-SNE. https://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html 2022. T-SNE. https://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html

3. 2022. UTango. https://github.com/Commit-Untangling/commit-untangling 2022. UTango. https://github.com/Commit-Untangling/commit-untangling

4. Mike Barnett , Christian Bird , João Brunet , and Shuvendu K. Lahiri . 2015. Helping Developers Help Themselves: Automatic Decomposition of Code Review Changesets . In Proceedings of the 37th International Conference on Software Engineering - Volume 1 (ICSE ’15). IEEE Press, 134–144. isbn:97814799 1934 5 Mike Barnett, Christian Bird, João Brunet, and Shuvendu K. Lahiri. 2015. Helping Developers Help Themselves: Automatic Decomposition of Code Review Changesets. In Proceedings of the 37th International Conference on Software Engineering - Volume 1 (ICSE ’15). IEEE Press, 134–144. isbn:9781479919345

5. Claudio Bellei , Hussain Alattas , and Nesrine Kaaniche . 2021. Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks. CoRR, abs/2104.02153 ( 2021 ), arXiv:2104.02153. arxiv:2104.02153 Claudio Bellei, Hussain Alattas, and Nesrine Kaaniche. 2021. Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks. CoRR, abs/2104.02153 (2021), arXiv:2104.02153. arxiv:2104.02153

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Large Language Model for Vulnerability Detection: Emerging Results and Future Directions;Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results;2024-04-14