On the evaluation of neural code summarization-Reference-Cited by-同舟云学术

On the evaluation of neural code summarization

Published:2022-05-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 44th International Conference on Software Engineering
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Author:

Shi Ensheng¹,Wang Yanlin²,Du Lun²,Chen Junjie³,Han Shi²,Zhang Hongyu⁴,Zhang Dongmei²,Sun Hongbin¹

Affiliation:

1. Xi'an Jiaotong University

2. Microsoft Research

3. Tianjin University

4. The University of Newcastle

Funder

National Key R&D Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3510003.3510060

Reference71 articles.

1. Wasi Uddin Ahmad , Saikat Chakraborty , Baishakhi Ray , and Kai-Wei Chang . 2020. A Transformer-based Approach for Source Code Summarization . In ACL. Association for Computational Linguistics , 4998--5007. Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang. 2020. A Transformer-based Approach for Source Code Summarization. In ACL. Association for Computational Linguistics, 4998--5007.

2. Miltiadis Allamanis. 2019. The adverse effects of code duplication in machine learning models of code. In Onward! ACM 143--153. Miltiadis Allamanis. 2019. The adverse effects of code duplication in machine learning models of code. In Onward! ACM 143--153.

3. Miltiadis Allamanis , Hao Peng , and Charles Sutton . 2016 . A Convolutional Attention Network for Extreme Summarization of Source Code . In ICML (JMLR Workshop and Conference Proceedings , Vol. 48). JMLR.org, 2091-- 2100 . Miltiadis Allamanis, Hao Peng, and Charles Sutton. 2016. A Convolutional Attention Network for Extreme Summarization of Source Code. In ICML (JMLR Workshop and Conference Proceedings, Vol. 48). JMLR.org, 2091--2100.

4. Uri Alon Shaked Brody Omer Levy and Eran Yahav. 2019. code2seq: Generating Sequences from Structured Representations of Code. In ICLR (Poster). OpenReview.net. Uri Alon Shaked Brody Omer Levy and Eran Yahav. 2019. code2seq: Generating Sequences from Structured Representations of Code. In ICLR (Poster). OpenReview.net.

5. Satanjeev Banerjee and Alon Lavie . 2005 . METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments. In IEEvaluation@ACL. Satanjeev Banerjee and Alon Lavie. 2005. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments. In IEEvaluation@ACL.

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