Classifying Code Comments via Pre-trained Programming Language Model-Reference-Cited by-同舟云学术

Classifying Code Comments via Pre-trained Programming Language Model

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE)
language:
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Author:

Li Ying¹,Wang Haibo¹,Zhang Huaien²,Tan Shin Hwei¹

Affiliation:

1. Southern University of Science and Technology, Research Institute of Trustworthy Autonomous Systems,Department of Computer Science and Engineering,Shenzhen,China

2. Southern University of Science and Technology, The Hong Kong Polytechnic University,Shenzhen,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10189115/10189122/10189150.pdf?arnumber=10189150

Reference24 articles.

1. An initial explo- ration of machine learning techniques to classify source code comments in real-time;beck;2019 ASEE Annual Conference & Exposition,0

2. How to identify class comment types? A multi-language approach for class comment classification

3. CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

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