Artificial intelligence (AI) has witnessed an exponential increase in use in various
applications. Recently, the academic community started to research and inject new AI-based …

Detecting code smells may be highly helpful for reducing maintenance costs and raising
source code quality. Code smells facilitate developers or researchers to understand several …

(1) Background: Code smell is the most popular and reliable method for detecting potential
errors in code. In real-world circumstances, a single source code may have multiple code …

Code smells are software flaws that make it challenging to comprehend, develop, and
maintain the software. Identifying and removing code smells is crucial for software quality …

Code smell refers to substandard design patterns in software's source code that may lead to
faults-prone implementation. Machine learning-based code smell prediction models suffer …

The advancement of machine learning (ML) models has led to the development of ML-
based approaches to improve numerous software engineering tasks in software …

Repairing code smells detected in the code or design of the system is one of the activities
contributing to increasing the software quality. In this study, we investigate the impact of non …

Abstract Code Smell Severity Prioritization (CSSP) is crucial in hel** software developers
minimize software maintenance costs and enhance software quality, particularly when faced …

Abstract Context: Feature Envy is a common code smell that occurs when a method heavily
relies on data or functionality from other classes. Detecting Feature Envy is essential for …

Software dominates modern enterprises, affecting numerous functions. Software firms
constantly experiment with new methodologies to define and assess software quality to stay …