CCT5: A Code-Change-Oriented Pre-trained Model

Author:

Lin Bo1,Wang Shangwen1,Liu Zhongxin2,Liu Yepang3,Xia Xin2,Mao Xiaoguang1

Affiliation:

1. National University of Defense Technology, Changsha, China

2. Zhejiang University, Hangzhou, China

3. Southern University of Science and Technology, Shenzhen, China

Funder

National Natural Science Foundation of China

Zhejiang University Education Foundation Qizhen Scholar Foundation

Publisher

ACM

Reference81 articles.

1. Wasi Ahmad , Saikat Chakraborty , Baishakhi Ray , and Kai-Wei Chang . 2021 . Unified Pre-training for Program Understanding and Generation . In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2655–2668 . Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang. 2021. Unified Pre-training for Program Understanding and Generation. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2655–2668.

2. Uri Alon , Meital Zilberstein , Omer Levy , and Eran Yahav . 2018 . A general path-based representation for predicting program properties . In Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation. ACM, 404–419 . https://doi.org/10.1145/3192366.3192412 10.1145/3192366.3192412 10.1145/3192366.3192412 Uri Alon, Meital Zilberstein, Omer Levy, and Eran Yahav. 2018. A general path-based representation for predicting program properties. In Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation. ACM, 404–419. https://doi.org/10.1145/3192366.3192412 10.1145/3192366.3192412

3. Uri Alon , Meital Zilberstein , Omer Levy , and Eran Yahav . 2019 . code2vec: learning distributed representations of code . Proceedings of the ACM on Programming Languages, 3, POPL (2019), 40:1–40:29. https://doi.org/10.1145/3290353 10.1145/3290353 10.1145/3290353 Uri Alon, Meital Zilberstein, Omer Levy, and Eran Yahav. 2019. code2vec: learning distributed representations of code. Proceedings of the ACM on Programming Languages, 3, POPL (2019), 40:1–40:29. https://doi.org/10.1145/3290353 10.1145/3290353

4. A Large-Scale Dataset of Popular Open Source Projects;Altherwi Muna;J. Comput.,2019

5. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473.

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