Background: Defining code smell is not a trivial task. Their recognition tends to be highly
subjective. Nevertheless some code smells detection tools have been proposed. Other …

Code smells are structures in code that may indicate maintainability issues. They are
challenging to define, and software engineers detect them differently. Mitigation of this …

Code smells represent design situations that can affect the maintenance and evolution of
software. They make the system difficult to evolve. Code smells are detected, in general …

Code smells are symptoms of poor design and implementation choices weighing heavily on
the quality of produced source code. During the last decades several code smell detection …

We examine a machine learning approach for detecting common Class and Method level
code smells (Data Class and God Class, Feature Envy and Long Method). The focus of the …

Code smells or bad smells are an accepted approach to identify design flaws in the source
code. Although it has been explored by researchers, the interpretation of programmers is …

Code smell detection is essential to improve software quality, enhancing software
maintainability, and decrease the risk of faults and failures in the software system. In this …

Context Code smells are patterns in source code associated with an increased defect rate
and a higher maintenance effort than usual, but without a clear definition. Code smells are …

Software quality is critical, as low quality, or “Code smell,” increases technical debt and
maintenance costs. There is a timely need for a collaborative model that detects and …

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 …