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 are the result of not following software engineering principles during software
development, especially in the design and coding phase. It leads to low maintainability. To …

Context: A code smell indicates a flaw in the design, implementation, or maintenance
process that could degrade the software's quality and potentially cause future disruptions …

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

Code smells are early warning signs of potential issues in software quality. Various
techniques are used in code smell detection, including the Bayesian approach, rule-based …

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 …

Context: Design smell detection is considered an efficient activity that decreases
maintainability expenses and improves software quality. Human context plays an essential …

In the field of software engineering, large and complex code bases may lead to some
burden of understanding their structure and meaning for developers. To reduce the burden …

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 …

In complex systems, the maintenance phase engenders the emergence of code smells due
to incessant shifts in requirements and designs, stringent timelines, and the developer's …