To assist maintenance and evolution teams, work needs to be done at the onset of software
development. One such facilitation is refactoring the code, making it easier to read …

Code smells are poor design and implementation choices that hinders the overall software
quality. Code smells detection using machine learning models has been an active research …

Code smells are the structural weaknesses which reside in a software system. They evolve
negatively over time reducing the system quality ie, maintainability, understandability etc …

Previous research demonstrated how code smells (ie, symptoms of the presence of poor
design or implementation choices) threat software maintainability. Moreover, some studies …

Context: Code smells (aka anti-patterns) are manifestations of poor design solutions that can
deteriorate software maintainability and evolution. Research gap: Existing works did not take …

To maintain software and enhance its code quality, code smell, ie, undesired design flaws
need to be detected. However, as the system size increases, manual smell detection …

Bad smells are bad practices in developing software. These poor solutions significantly
influence the understandability and maintainability of source code. Therefore, bad smell …

Detecting code smells is an important research problem in the software maintenance. It
assists the subsequent steps of the refactoring process so as to improve the quality of the …

Code smells refer to the lack of the software quality, such as difficulty in understandability
and changeability. In this research work, we proposed a technique to detect the CSs using …

Code smells are program structures that often indicate software design problems. Their
efficient identification is required in order to ensure software longevity. However, the …