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Commit messages are important for software development and maintenance.
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Automatic generation of natural language summaries for java classes
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On automatically generating commit messages via summarization of source code changes
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Untangling fine-grained code changes
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Cider: Consensus-based image description evaluation
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The impact of test case summaries on bug fixing performance: an empirical investigation
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On automatic summarization of what and why information in source code changes
Jinfeng Shen, Xiaobing Sun, Bin Li, Hui Yang, and Jiajun Hu. 2016 · 2016
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Mining version control system for automatically generating commit comment
Yuan Huang, Qiaoyang Zheng, Xiangping Chen, Yingfei Xiong, Zhiyong Liu, and Xiaonan Luo. 2017 · 2017
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Automatically generating commit messages from diffs using neural machine translation
Siyuan Jiang, Ameer Armaly, and Collin McMillan. 2017 · 2017
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Learning human-written commit messages to document code changes
Yuan Huang, Nan Jia, Hao-Jie Zhou, Xiangping Chen, Zibin Zheng, and Mingdong Tang. 2020 · 2020
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Retrieval-augmented generation for knowledge-intensive NLP tasks
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2020 · 2020
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ATOM: commit message generation based on abstract syntax tree and hybrid ranking
Shangqing Liu, Cuiyun Gao, Sen Chen, Lun Yiu Nie, and Yang Liu. 2020 · 2020
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Learning to update natural language comments based on code changes
Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, and Raymond J. Mooney. 2020 · 2020
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Cocogum: Contextual code summarization with multi-relational gnn on umls
Yanlin Wang, Lun Du, Ensheng Shi, Yuxuan Hu, Shi Han, and Dongmei Zhang. 2020 · 2020
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A neural architecture for generating natural language descriptions from source code changes
Pablo Loyola, Edison Marrese-Taylor, and Yutaka Matsuo. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Deep code search
Xiaodong Gu, Hongyu Zhang, and Sunghun Kim. 2018 · 2018
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Neural-machine-translation-based commit message generation: how far are we?
Zhongxin Liu, Xin Xia, Ahmed E. Hassan, David Lo, Zhenchang Xing, and Xinyu Wang. 2018 · 2018
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Generating commit messages from diffs using pointer-generator network
Qin Liu, Zihe Liu, Hongming Zhu, Hongfei Fan, Bowen Du, and Yu Qian. 2019 · 2019
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
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Commit message generation for source code changes
Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, and Jian Lu. 2019 · 2019
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Retrieve and refine: exemplar-based neural comment generation
Bolin Wei, Yongmin Li, Ge Li, Xin Xia, and Zhi Jin. 2020 · 2020
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Retrieval-based neural source code summarization
Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, and Xudong Liu. 2020 · 2020
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Is a single model enough? mucos: A multi-model ensemble learning approach for semantic code search
Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, and Dongmei Zhang. 2021 · 2021
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Commitbert: Commit message generation using pre-trained programming language model
Tae Hwan Jung. 2021 · 2021
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Coregen: Contextualized code representation learning for commit message generation
Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, and Zenglin Xu. 2021 · 2021
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On the evaluation of commit message generation models: An experimental study
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, and Wenqiang Zhang. 2021 · 2021
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Improving query representations for dense retrieval with pseudo relevance feedback
HongChien Yu, Chenyan Xiong, and Jamie Callan. 2021 · 2021
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Fira: Fine-grained graph-based code change representation for automated commit message generation
Jinhao Dong, Yiling Lou, Qihao Zhu, Zeyu Sun, Zhilin Li, Wenjie Zhang, and Dan Hao. 2022 · 2022
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