The presence of code smells will increase the risk of failure, make software difficult to
maintain, and introduce potential technique debt in the future. Although many deep-learning …

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 …

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

Context: A substantial amount of work has been done to detect smells in source code using
metrics-based and heuristics-based methods. Machine learning methods have been …

Context Code smells in the software systems are indications that usually correspond to
deeper problems that can negatively influence software quality characteristics. This review is …

The detection of code smells is a fundamental prerequisite for guiding the subsequent steps
in the refactoring process. The more the detection results are accurate, the more the …

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 …

Code smells are poor code design or implementation that affect the code maintenance
process and reduce the software quality. Therefore, code smell detection is important in …

A smell in software refers to a symptom introduced in software artifacts such as architecture,
design or code. A code smell can potentially cause deeper and serious problems, while …

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 …