A code smell is a measurable indicator that highlights significant issues in the software
development process caused by inadequate programming practices. These are usually …

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 …

Code smells, indicative of potential design weaknesses in software, have garnered attention
due to their subtle yet impactful implications on software maintainability. These symptoms …

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

Code smells are the structural characteristics of the software under development that
indicate poor code choices and can cause errors or failures in the software and they can …

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 …

[EN] This project is an empirical study that aims to research about test smells and flaky tests.
Software testing is a key part of the development process of every project. During the …

The rapid growth of software systems demands meticulous planning and maintenance to
accommodate the evolution of the code base over extended periods. Without maintenance …

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 …

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 …