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 …

Bad smells are sub-optimal code structures that may represent problems needing attention.
We conduct an extensive literature review on bad smells relying on a large body of …

Context Smells in software systems impair software quality and make them hard to maintain
and evolve. The software engineering community has explored various dimensions …

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

Test smells have been defined as poorly designed tests and, as reported by recent empirical
studies, their presence may negatively affect comprehension and maintenance of test suites …

Code smells are poor implementation choices applied by developers during software
evolution that often lead to critical flaws or failure. Much in the same way, community smells …

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 …

Technical Debt analysis is increasing in popularity as nowadays researchers and industry
are adopting various tools for static code analysis to evaluate the quality of their code …

The accuracy reported for code smell-detecting tools varies depending on the dataset used
to evaluate the tools. Our survey of 45 existing datasets reveals that the adequacy of a …

Code smells are symptoms of poor design and implementation choices. Previous studies
empirically assessed the impact of smells on code quality and clearly indicate their negative …