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

Supervised learning-based code smell detection has become one of the dominant
approaches to identify code smell. Existing works optimize the process of code smell …

While some areas of software engineering knowledge present great advances with respect
to the automation of processes, tools, and practices, areas such as software maintenance …

Code smell targets to identify bugs that occur due to incorrect analysis of code during
software development life cycle. It is the task of analyzing a code design problem. The …

Code smell aims to identify bugs that occurred during software development. It is the task of
identifying design problems. The significant causes of code smell are complexity in code …

Code Smells have been detected, predicted and studied by researchers from several
perspectives. This literature review is conducted to understand tools and algorithms used to …

Code smells are an indicator of poor design in software systems. Artificial intelligence
techniques have been applied in several ways to improve soft-ware quality in code smells …

Long-term evolution and maintenance of the software system result in the introduction of
different kinds of code smell in the underlying source code of the software system. These …

The rapid growth of software systems demands meticulous planning and maintenance to
accommodate the evolution of the code base over extended periods. Without maintenance …