Towards the evolutionary assessment of neural transformers trained on source code

Author:

Saletta Martina1,Ferretti Claudio1

Affiliation:

1. University of Milano-Bicocca, Milan, Italy

Publisher

ACM

Reference24 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. Association for Computational Linguistics , Online , 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. Association for Computational Linguistics, Online, 2655--2668.

2. Miltiadis Allamanis , Hao Peng , and Charles A. Sutton . 2016. A Convolutional Attention Network for Extreme Summarization of Source Code . In Proceedings of the 33nd International Conference on Machine Learning, ICML. 2091--2100 . Miltiadis Allamanis, Hao Peng, and Charles A. Sutton. 2016. A Convolutional Attention Network for Extreme Summarization of Source Code. In Proceedings of the 33nd International Conference on Machine Learning, ICML. 2091--2100.

3. P. E. Black . 2018. Juliet 1.3 Test Suite : Changes From 1.2. Technical Note . NIST National Institute for Standard and Technology . P. E. Black. 2018. Juliet 1.3 Test Suite: Changes From 1.2. Technical Note. NIST National Institute for Standard and Technology.

4. F. E. Boland and P. E. Black. 2012. The Juliet C/C++ and Java Test Suite. Computer (IEEE Computer) 45 (2012). F. E. Boland and P. E. Black. 2012. The Juliet C/C++ and Java Test Suite. Computer (IEEE Computer) 45 (2012).

5. A training algorithm for optimal margin classifiers

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