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 …

Background: Defect prediction in software can be highly beneficial for development projects,
when prediction is highly effective and defect-prone areas are predicted correctly. One of the …

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 …

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

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 …

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 …

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

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 …

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 …

Code smells combine software features that indicate a code or design-related problem that
can increase the difficulty of the software and make it complicated to recognize, develop …