Code smells indicate poor design and imperfection in coding style. They increase
maintenance costs and degrade software quality. Detecting and mitigating these code …

Code smells are structures in code that often harm its quality. Manually detecting code
smells is challenging, so researchers proposed many automatic detectors. Traditional code …

Code smells are the result of not following software engineering principles during software
development, especially in the design and coding phase. It leads to low maintainability. To …

Context: Code smells are well-known concepts in Object-Oriented (OO) programs as
symptoms that negatively impact software quality and cause long-term issues. However, the …

Supervised learning-based code smell detection has become one of the dominant
approaches to identify code smell. Existing works optimize the process of code smell …

Machine learning‐based code smell detection (CSD) has been demonstrated to be a
valuable approach for improving software quality and enabling developers to identify …

Code smell is the structural design defect that makes programs difficult to understand,
maintain, and evolve. Existing works of code smell detection mainly focus on prevalent code …

A framework combining the Internet of Things (IoT) and blockchain can help achieve system
automation and credibility, and the corresponding technologies have been applied in many …

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

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 …