Detecting code smells may be highly helpful for reducing maintenance costs and raising
source code quality. Code smells facilitate developers or researchers to understand several …

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

Context Code smell detection is the process of identifying poorly designed and implemented
code pieces. Machine learning-based approaches require enormous amounts of manually …

Abstract Code Smell Severity Prioritization (CSSP) is crucial in helping software developers
minimize software maintenance costs and enhance software quality, particularly when faced …

Artificial intelligence (AI) has witnessed an exponential increase in use in various
applications. Recently, the academic community started to research and inject new AI-based …

Code smells refer to the lack of the software quality, such as difficulty in understandability
and changeability. In this research work, we proposed a technique to detect the CSs using …

(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 …

Issue tracking systems are now prevalent in software development, which would help
developers submit and discuss issues to solve development problems on software projects …

The advancement of machine learning (ML) models has led to the development of ML-
based approaches to improve numerous software engineering tasks in software …

A detecção de code smells durante o processo de desenvolvimento de software é
importante para melhorar a qualidade do software e a refatoração é fundamental para …