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 …

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

Code smells are indicators of potential problems in software. They tend to have a negative
impact on software quality. Several studies use machine learning techniques to detect bad …

Context: Code smells are symptoms of wrong design decisions or coding shortcuts that may
increase defect rate and decrease maintainability. Research on code smells is accelerating …

Context: Code smell detection is the process of identifying code pieces that are poorly
designed and implemented. Recently more research has been directed towards machine …

Context A code smell indicates a poor implementation choice that often worsens software
quality. Thus, code smell detection is an elementary technique to identify refactoring …

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 …

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