GT-SimNet: Improving code automatic summarization via multi-modal similarity networks

Author:

Gao Xuejian,Jiang Xue,Wu Qiong,Wang Xiao,Lyu ChenORCID,Lyu Lei

Funder

Innovative Talent Fund of Harbin City

Postdoctoral Innovation Project of Shandong Province

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Postdoctoral Research Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference63 articles.

1. Ahmad, Wasi Uddin, Chakraborty, Saikat, Ray, Baishakhi, Chang, Kai-Wei, 2020. A transformer-based approach for source code summarization. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. pp. 4998–5007.

2. A survey of machine learning for big code and naturalness;Allamanis;ACM Comput. Surv.,2018

3. Learning to represent programs with graphs;Allamanis,2018

4. Allamanis, Miltiadis, Peng, Hao, Sutton, Charles, 2016. A convolutional attention network for extreme summarization of source code. In: Proceedings of the 33nd International Conference on Machine Learning, (ICML). Vol. 48. pp. 2091–2100.

5. Clone detection through srcclone: A program slicing based approach;Alomari;J. Syst. Softw.,2022

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