Multi-Label Code Smell Detection with Hybrid Model based on Deep Learning-Reference-Cited by-同舟云学术

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Multi-Label Code Smell Detection with Hybrid Model based on Deep Learning

Published:2022-07-01 Issue: Volume: Page:
ISSN:2325-9000
Container-title:Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering
language:
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Author:

Li Yichen,Zhang Xiaofang

Publisher

KSI Research Inc.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing source code classification effectiveness via prompt learning incorporating knowledge features;Scientific Reports;2024-08-30

2. Practitioners' Expectations on Code Smell Detection;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

3. Application of Deep Learning for Code Smell Detection: Challenges and Opportunities;SN Computer Science;2024-06-03

4. Multi-label learning for identifying co-occurring class code smells;Computing;2024-05-27

5. Examining deep learning’s capability to spot code smells: a systematic literature review;Cluster Computing;2023-10-03

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