Code smells indicate problems in design or code which makes software hard to change and
maintain. It has become a sign of software systems that cause complications in maintaining …

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 in the software systems are indications that usually correspond to
deeper problems that can negatively influence software quality characteristics. This review is …

Context: Code smell is a term commonly used to describe potential problems in the design
of software. The concept is well accepted by the software engineering community. However …

Code smell detection can be very useful for minimizing maintenance costs and improving
software quality. Code smells help developers/programmers, researchers to subjectively …

Fowler et al. identified 22 Code Bad Smells to direct the effective refactoring of code. These
are increasingly being taken up by software engineers. However, the empirical basis of …

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 associated to poor design and programming style, which often
degrades code quality and hampers code comprehensibility and maintainability. Goal …

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 Smell, similar to a bad smell, is a surface indication of something tainted but in terms
of software writing practices. This metric is an indication of a deeper problem lies within the …