Code smells combine software features that indicate a code or design-related problem that
can increase the difficulty of the software and make it complicated to recognize, develop …

Code smell is an indicator of potential problems in a software design that have a negative
impact on readability and maintainability. Hence, detecting code smells in a timely and …

Code smells can compromise software quality in the long term by inducing technical debt.
For this reason, many approaches aimed at identifying these design flaws have been …

Code smells can be subjectively interpreted, the results provided by detectors are usually
different, the agreement in the results is scarce, and a benchmark for the comparison of …

Artificial intelligence is one of the major subtleties of our time. Artificial intelligence is utilized
in improving the quality of software projects and in applications themselves. Code smells are …

Code smells violate software development principles that make the software more prone to
errors and changes. Researchers have developed code smell detectors using manual and …

Code smell occurrence is a common phenomenon when functionalities of complex systems
are subjected to frequent changes. They are design anomalies that prevent future …

Machine learning‐based code smell detection (CSD) has been demonstrated to be a
valuable approach for improving software quality and enabling developers to identify …

Code smells are symptoms of poor software design and implementation choices. Previous
empirical studies have underlined their negative effect on software comprehension, fault …

The detection of code smells is a fundamental prerequisite for guiding the subsequent steps
in the refactoring process. The more the detection results are accurate, the more the …