Detection of code smells using machine learning techniques combined with data-balancing methods

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...

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Bibliographic Details
Main Authors: Nasraldeen Alnor Adam Khleel, Károly Nehéz
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2023-11-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
code smells
software metrics
machine learning techniques
class imbalance
data balancing methods
Online Access:http://ijain.org/index.php/IJAIN/article/view/981

Internet

http://ijain.org/index.php/IJAIN/article/view/981

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