Research Trends, Detection Methods, Practices, and Challenges in Code Smell: SLR
Author:
Affiliation:
1. Department of Informatics, Politeknik Negeri Indramayu, Indramayu, Indonesia
2. Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
3. Faculty of Vocational Studies, Institut Teknologi Del, Toba, Indonesia
Funder
Politeknik Negeri Indramayu
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10322720.pdf?arnumber=10322720
Reference95 articles.
1. A Systematic Literature Review: Code Bad Smells in Java Source Code
2. A large empirical assessment of the role of data balancing in machine-learning-based code smell detection
3. Causes, impacts, and detection approaches of code smell
4. Code smell detection and identification in imbalanced environments
5. Code Smells Detection and Visualization: A Systematic Literature Review
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