A Novel Approach for Code Smell Detection: An Empirical Study-Reference-Cited by-同舟云学术

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A Novel Approach for Code Smell Detection: An Empirical Study

Published:2021 Issue: Volume:9 Page:162869-162883
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Dewangan Seema,Rao Rajwant Singh,Mishra Alok^ORCID,Gupta Manjari^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09641807.pdf?arnumber=9641807

Cited by 30 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. Machine Learning-Based Methods for Code Smell Detection: A Survey;Applied Sciences;2024-07-15

2. Improving Code Smell Detection by Reducing Dimensionality Using Ensemble Feature Selection and Machine Learning;SN Computer Science;2024-06-25

3. Improving accuracy of code smells detection using machine learning with data balancing techniques;The Journal of Supercomputing;2024-06-05

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

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

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