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 …

Code smells are symptoms of poor design and implementation choices that may hinder
code comprehension and possibly increase change-and fault-proneness of source code …

Code smells can compromise software quality in the long term by inducing technical debt.
For this reason, many approaches aimed at identifying these design flaws have been …

Background: Code smells indicate suboptimal design or implementation choices in the
source code that often lead it to be more change-and fault-prone. Researchers defined …

Several code smells detection tools have been developed providing different results,
because smells can be subjectively interpreted and hence detected in different ways …

In this paper, we present TACO (Textual Analysis for Code Smell Detection), a technique
that exploits textual analysis to detect a family of smells of different nature and different …

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

In the last decade several catalogues have been defined to characterize bad code smells,
ie, symptoms of poor design and implementation choices. On top of such catalogues …

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 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 …