Unlike code errors, the presence of code smell often does not affect the behavior of the
software system, but it will cause quality problems in terms of readability, understandability …

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 …

Identifying refactoring opportunities in software systems is an important activity in today's
agile development environments. The concept of code smells has been proposed to …

Code smells are seen as major source of technical debt and, as such, should be detected
and removed. However, researchers argue that the subjectiveness of the code smells …

Code smells (CS) are severe violations of software development fundamentals that degrade
source code quality. Several CS types are involved in the program code which has an …

Code smells detection helps in improving understandability and maintainability of software
while reducing the chances of system failure. In this study, six machine learning algorithms …

Background: Code smells are symptoms that something may be wrong in software systems
that can cause complications in maintaining software quality. In literature, there exist many …

Code smell detection can help developers identify position of code smell in projects and
enhance the quality of software system. Usually codes with similar semantic relationships …

The incidence of code smells is often associated with software quality degradation. Several
studies present the importance of detecting and tackling the incidence of smells in the …

Python is an increasingly popular programming language used in various software projects
and domains. Code smells in Python significantly influences the maintainability …