xASTNN: Improved Code Representations for Industrial Practice

Author:

Xu Zhiwei1,Zhou Min1,Zhao Xibin1,Chen Yang2,Cheng Xi3,Zhang Hongyu4

Affiliation:

1. Tsinghua University, Beijing, China

2. Fudan University, Shanghai, China

3. VMware, Beijing, China

4. Chongqing University, Chongqing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Industrial Technology Infrastructure Public Service Platform Project

Publisher

ACM

Reference56 articles.

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2. 2020 . Version : 0 . 13 .0. Accessed: 2022-09-28. javalang. https://github.com/c2nes/javalang 2020. Version: 0.13.0. Accessed: 2022-09-28. javalang. https://github.com/c2nes/javalang

3. 2021 . Version : 2 . 21 . Accessed: 2022-09-28. pycparser. https://github.com/eliben/pycparser 2021. Version: 2.21. Accessed: 2022-09-28. pycparser. https://github.com/eliben/pycparser

4. Miltiadis Allamanis , Earl T Barr , Christian Bird , and Charles Sutton . 2015 . Suggesting accurate method and class names . In Proceedings of the Joint Meeting on Foundations of Software Engineering. 38–49 . Miltiadis Allamanis, Earl T Barr, Christian Bird, and Charles Sutton. 2015. Suggesting accurate method and class names. In Proceedings of the Joint Meeting on Foundations of Software Engineering. 38–49.

5. A survey of machine learning for big code and naturalness;Allamanis Miltiadis;Comput. Surveys,2018

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