The presence of code smells will increase the risk of failure, make software difficult to
maintain, and introduce potential technique debt in the future. Although many deep-learning …

Software smells indicate design or code issues that might degrade the evolution and
maintenance of software systems. Detecting and identifying these issues are challenging …

Previous research demonstrated how code smells (ie, symptoms of the presence of poor
design or implementation choices) threat software maintainability. Moreover, some studies …

Context Research on code smells accelerates and there are many studies that discuss them
in the machine learning context. However, while data sets used by researchers vary in …

Code smells are poorly designed code structures indicating that the code may need to be
refactored. Recognizing code smells in practice is complex, and researchers strive to …

The variety of code smells deserves a numerous set of detectors capable of sensing them.
There exist several sources of data that may be examined: code metrics, existence of …

Code smells are a well-known metaphor to describe symptoms of code decay or other
issues with code quality which can lead to a variety of maintenance problems. Even though …

Context Code smells are indicators of poor coding and design choices that can cause
problems during software maintenance and evolution. Objective This study is aimed at a …

Code smells refer to commonly occurring patterns in source code that indicate poor
programming practices or code decay. Detecting code smells helps developers find design …

Identifying refactoring opportunities in software systems is an important activity in today's
agile development environments. The concept of code smells has been proposed to …