Commit messages aid developers in their understanding of a continuously evolving codebase.
Reading the bibliography…
A learning algorithm for continually running fully recurrent neural networks
Ronald J Williams and David Zipser. 1989 · 1989
Earlier work this paper cites.
BLEU: a method for automatic evaluation of machine translation. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL ’02 . Association for Computational Linguistics, Philadelphia, Pennsylvania, 311
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2001 · 2001
Earlier work this paper cites.
ROUGE: A Package for Automatic Evaluation of Summaries. In Proceedings of the Workshop on Text Summarization Branches Out . 8
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
Earlier work this paper cites.
Automatically documenting program changes. In Proceedings of the IEEE/ACM international conference on Automated software engineering - ASE ’10 . ACM Press, Antwerp, Belgium, 33
Raymond P.L. Buse and Westley R. Weimer. 2010 · 2010
Earlier work this paper cites.
How do professional developers comprehend software?. In 2012 34th International Conference on Software Engineering (ICSE) . IEEE, Zurich, 255–265
Tobias Roehm, Rebecca Tiarks, Rainer Koschke, and Walid Maalej. 2012 · 2012
Earlier work this paper cites.
Boa: A language and infrastructure for analyzing ultra-large-scale software repositories. In 2013 35th International Conference on Software Engineering (ICSE) . IEEE, San Francisco, CA, USA, 422–431
Robert Dyer, Hoan Anh Nguyen, Hridesh Rajan, and Tien N. Nguyen. 2013 · 2013
Earlier work this paper cites.
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
On Automatically Generating Commit Messages via Summarization of Source Code Changes. In 2014 IEEE 14th International Working Conference on Source Code Analysis and Manipulation . IEEE, Victoria, BC, Canada, 275–284
Luis Fernando Cortes-Coy, Mario Linares-Vasquez, Jairo Aponte, and Denys Poshyvanyk. 2014 · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks. In Advances in neural information processing systems . 3104–3112
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Cited alongside, same era.
Effective approaches to attention-based neural machine translation
Minh-Thang Luong, Hieu Pham, and Christopher D Manning. 2015 · 2015
Cited alongside, same era.
A theoretically grounded application of dropout in recurrent neural networks. In Advances in neural information processing systems . 1019–1027
Yarin Gal and Zoubin Ghahramani. 2016 · 2016
Cited alongside, same era.
On Automatic Summarization of What and Why Information in Source Code Changes. In 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC) . IEEE, Atlanta, GA, USA, 103–112
Jinfeng Shen, Xiaobing Sun, Bin Li, Hui Yang, and Jiajun Hu. 2016 · 2016
Cited alongside, same era.
Automatically Generating Commit Messages from Diffs using Neural Machine Translation
Siyuan Jiang, Ameer Armaly, and Collin McMillan. 2017 · 2017
Cited alongside, same era.
code2seq: Generating Sequences from Structured Representations of Code
Uri Alon, Shaked Brody, Omer Levy, and Eran Yahav. 2018a
Cited in the paper.
code2vec: Learning Distributed Representations of Code
Uri Alon, Meital Zilberstein, Omer Levy, and Eran Yahav. 2018b
Cited in the paper.
Towards Automatic Generation of Short Summaries of Commits. In 2017 IEEE/ACM 25th International Conference on Program Comprehension (ICPC) . IEEE, Buenos Aires, Argentina, 320–323
Siyuan Jiang and Collin McMillan. 2017 · 2017
Later among the works it cites.
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes
Pablo Loyola, Edison Marrese-Taylor, and Yutaka Matsuo. 2017 · 2017
Later among the works it cites.
Nematus: a Toolkit for Neural Machine Translation
Rico Sennrich, Orhan Firat, Kyunghyun Cho, Alexandra Birch, Barry Haddow, Julian Hitschler, Marcin Junczys-Dowmunt, Samuel Läubli, Antonio Valerio Miceli Barone, Jozef Mokry, and Maria Nădejde. 2017 · 2017
Later among the works it cites.
A Survey of Machine Learning for Big Code and Naturalness
Miltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, and Charles Sutton. 2018 · 2018
Later among the works it cites.
Neural-machine-translation-based commit message generation: how far are we?. In Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering - ASE 2018 . ACM Press, Montpellier, France, 373–384
Zhongxin Liu, Xin Xia, Ahmed E. Hassan, David Lo, Zhenchang Xing, and Xinyu Wang. 2018 · 2018
Later among the works it cites.
Attn: Illustrated Attention
Raimi Karim. [n. d.] · 2019
Closest in time.
Generating Commit Messages from Diffs using Pointer-Generator Network. In 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR) . IEEE, Montreal, QC, Canada, 299–309
Qin Liu, Zihe Liu, Hongming Zhu, Hongfei Fan, Bowen Du, and Yu Qian. 2019 · 2019
Closest in time.
Summarizing Source Code using a Neural Attention Model. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Berlin, Germany, 2073–2083
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, and Luke Zettlemoyer. 2016 · 2083
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…