CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees

Author:

Shi EnshengORCID,Wang Yanlin,Du Lun,Zhang Hongyu,Han Shi,Zhang Dongmei,Sun Hongbin

Publisher

Springer Science and Business Media LLC

Subject

Software

Reference97 articles.

1. Ahmad WU, Chakraborty S, Ray B, Chang K (2020) A transformer-based approach for source code summarization. In: ACL

2. Ahmad WU, Chakraborty S, Ray B, Chang K (2021) Unified pre-training for program understanding and generation. In: NAACL-HLT, pp. 2655–2668. Association for Computational Linguistics

3. Allamanis M, Barr ET, Bird C, Sutton CA (2015) Suggesting accurate method and class names. In: FSE

4. Allamanis M, Brockschmidt M, Khademi M (2018) Learning to represent programs with graphs. In: ICLR. OpenReview.net

5. Allamanis M, Peng H, Sutton C (2016) A convolutional attention network for extreme summarization of source code. In: ICML, JMLR Workshop and Conference Proceedings, JMLR.org vol. 48, pp 2091–2100

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