Code smells indicate poor implementation choices that may hinder the system maintenance.
Their detection is important for the software quality improvement, but studies suggest that it …

Code smells are considered symptoms of poor implementation choices, which may hamper
the software maintainability. Hence, code smells should be detected as early as possible to …

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 …

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 smells are symptoms of poor design that hamper software evolution and maintenance.
Hence, code smells should be detected as early as possible to avoid software quality …

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 …

Code smells, also known as code bad smells, are" a surface indication that usually
corresponds to a deeper problem in the system"[12]. Introduced by Fowler in 1999 [11] …

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 …

Many code smell detection techniques and tools have been proposed, mainly aiming to
eliminate design flaws and improve software quality. Most of them are based on heuristics …

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 …