Code smells are indicators of deeper problems in source code that affect the system
maintainability and evolution. Detecting code smells is crucial as a software maintenance …

Code smells violate software development principles that make the software more prone to
errors and changes. Researchers have developed code smell detectors using manual and …

In software engineering, a code smell is an indication of a deeper problem in the source
code, hindering the maintainability and evolvability of the system. In the literature, there is a …

Code smells are structures in the source code that suggest the possibility of refactorings.
Consequently, developers may identify refactoring opportunities by detecting code smells …

The term" code smell" refers to an indication of a problem with the quality of source code.
Numerous studies have been conducted to identify problematic features in source code …

Code smells is the term used to signal certain patterns or structures in software code that
may contain a potential design or architecture problem, leading to maintainability or other …

We conducted a systematic literature review of the most recent studies to survey the existing
ML-based methods for code smell detection. A systematic search of well-established digital …

Context: An excessive number of code smells make a software system hard to evolve and
maintain. Machine learning methods, in addition to metric-based and heuristic-based …

Abstract Code Smell Detection (CSD) plays a crucial role in improving software quality and
maintainability. And Deep Learning (DL) techniques have emerged as a promising …

Code smell refers to poor design that is perceived to have a negative impact on readability
and maintainability during software evolution, and it implies the possibility of refactoring …