Detection of code smells using machine learning techniques combined with data-balancing methods
Code smells are prevalent issues in software design that arise when implementation or design principles are violated. These issues manifest as symptoms or anomalies in the source code. Timely identification of code smells plays a crucial role in enhancing software quality and facilitating software m...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Universitas Ahmad Dahlan
2023-11-01
|
Series: | IJAIN (International Journal of Advances in Intelligent Informatics) |
Subjects: | |
Online Access: | http://ijain.org/index.php/IJAIN/article/view/981 |