Identifying and understanding reasons for deriving software development defects is crucial
for ensuring software product quality attributes such as maintainability. This paper presents …

Anti-patterns occur when software design principles are not followed in the software design
and coding process. Although there may be no errors or bugs in the software …

Code smells are an indication of deviation from design principles or implementation in the
source code. Early detection of these code smells increases software quality. In …

The author hereby declares that this dissertation has not been submitted, either in the same
or in a different form, to this or to any other university for obtaining a PhD degree. The author …

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 …

The role of design pattern mining is a very significant strategy of re-engineering as with the
help of detection one could easily understand complex systems. Of course, identifying a …

Code smells are indicators of potential symptoms or problems in software due to inefficient
design or incomplete implementation. These problems can affect software quality in the long …

Detecting code smells using machine learning presents inherent challenges due to the
unbalanced nature of the problem and susceptibility to interpretation biases. The objective of …

Code smell detection is critical for calculating system quality and identifying issues that
require more work and development. The technique of finding wrongly developed code …

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 …