Neural-machine-translation-based commit message generation: how far are we?

Author:

Liu Zhongxin1,Xia Xin2,Hassan Ahmed E.3,Lo David4,Xing Zhenchang5,Wang Xinyu1

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

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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