(1) Background: Code smell is the most popular and reliable method for detecting potential
errors in code. In real-world circumstances, a single source code may have multiple code …

Code smells are characteristics of the software that indicates a code or design problem
which can make software hard to understand, evolve, and maintain. There are several code …

Code smells in a source code shows the weakness of design or implementation. To detect
code smells, several detection tools have been developed. However, these tools generally …

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 …

Python is an increasingly popular programming language used in various software projects
and domains. Code smells in Python significantly influences the maintainability …

Context: Code smell detection is the process of identifying code pieces that are poorly
designed and implemented. Recently more research has been directed towards machine …

Code smells detection helps in improving understandability and maintainability of software
while reducing the chances of system failure. In this study, six machine learning algorithms …

Abstract Machine learning-based code smell detection was introduced to mitigate the
limitations of the heuristic-based approach and the subjectivity issues. Due to limited …

To preserve software quality and maintainability, machine learning-based code smell
detection has been proposed, and the results are promising. This research proposes an …

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 …