Practitioners' Expectations on Code Smell Detection-Reference-Cited by-同舟云学术

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Practitioners' Expectations on Code Smell Detection

Published:2024-07-02 Issue: Volume:98 Page:1324-1333
ISSN:
Container-title:2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Zhang Zexian¹,Yin Shuang²,Wei Wenliu³,Ma Xiaoxue⁴,Keung Jacky Wai⁴,Li Fuyang¹,Hu Wenhua¹

Affiliation:

1. School of Computer Science and Artificial Intelligence, Wuhan University of Technology,Wuhan,China

2. School of Computer, Wuhan Qingchuan University,Wuhan,China

3. Wuhan Maritime Communication Research Institute,Wuhan,China

4. City University of Hong Kong,Department of Computer Science,Hong Kong,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633605.pdf?arnumber=10633605

Reference45 articles.

1. A multi-objective effort-aware defect prediction approach based on NSGA-II

2. A Comprehensive Investigation of the Impact of Class Overlap on Software Defect Prediction

3. Learning from Imbalanced Data for Predicting the Number of Software Defects

4. Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM

5. Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction

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