Software developer always strives for quality of the software as it tends to be more robust
and easier to maintain. Code smells play as a hinder to the quality of the software as they …

Code Smell, similar to a bad smell, is a surface indication of something tainted but in terms
of software writing practices. This metric is an indication of a deeper problem lies within the …

This study aims at development of generating metrics based code smells prediction to
improve the software quality assurance by working at preventive maintenance level. In order …

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 …

Code smells indicate potential symptoms or problems in software due to inefficient design or
incomplete implementation. These problems can affect software quality in the long-term …

Code smells refers to any symptoms or anomalies in the source code that shows violation of
design principles or implementation. Early detection of bad code smells improves software …

Code Smell is a set of information of a source code that indicates any serious problem in the
software. To detect the code smell prediction rule, we have applied a Decision tree …

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 …

Code smells frequently leads to the discovery of decreased code quality, drains on
application resources, or even critical security vulnerabilities embedded within the …

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 …