Neural-machine-translation-based commit message generation: how far are we?
Author:
Affiliation:
1. Zhejiang University, China
2. Monash University, Australia
3. Queen's University, Canada
4. Singapore Management University, Singapore
5. Australian National University, Australia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3238147.3238190
Reference57 articles.
1. 2017. Jiang et al.’s website. https://sjiang1.github.io/commitgen/. 2018. Git. https://git-scm.com/. 2018. Our online appendix. https://goo.gl/63B976. 2018. ExoPlayer. https://github.com/google/ExoPlayer. 2018. Google Closure Compiler. https://github.com/google/closure-compiler. 2018. Liferay Portal. https://github.com/liferay/liferay-portal. 2018. Stack Overflow. https://stackoverflow.com/. 2018. TsExtractor in ExoPlayer. https://goo.gl/Dsbdjf. 2017. Jiang et al.’s website. https://sjiang1.github.io/commitgen/. 2018. Git. https://git-scm.com/. 2018. Our online appendix. https://goo.gl/63B976. 2018. ExoPlayer. https://github.com/google/ExoPlayer. 2018. Google Closure Compiler. https://github.com/google/closure-compiler. 2018. Liferay Portal. https://github.com/liferay/liferay-portal. 2018. Stack Overflow. https://stackoverflow.com/. 2018. TsExtractor in ExoPlayer. https://goo.gl/Dsbdjf.
2. Using stereotypes in the automatic generation of natural language summaries for C++ methods
3. Suggesting accurate method and class names
4. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014). Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014).
5. Automatic documentation inference for exceptions
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