This is a preprint of an article published in the Science of Computer Programming. The final
peer-reviewed publication is available online at: https://doi. org/10.1016/j. scico …

Code smells are structures in code that may indicate maintainability issues. They are
challenging to define, and software engineers detect them differently. Mitigation of this …

Artificial intelligence is one of the major subtleties of our time. Artificial intelligence is utilized
in improving the quality of software projects and in applications themselves. Code smells are …

Code smells are anomalies often generated in design, implementation or maintenance
phase of software development life cycle. Researchers established several catalogues …

Code smells are structures in code that present potential software maintainability issues.
Manually constructing high-quality datasets to train ML models for code smell detection is …

Code smells are sub-optimal design and implementation choices that hinder software
maintainability. Although significant progress has been achieved in code smell detection …

Context Code smells are suboptimal design or implementation choices made by
programmers during the development of a software system that possibly lead to low code …

Context Research on code smells accelerates and there are many studies that discuss them
in the machine learning context. However, while data sets used by researchers vary in …

Code smells indicate the presence of quality problems that make the software hard to
maintain and evolve. A software development team can keep their software maintainable by …

Code smells, ie, symptoms of poor design and implementation choices applied by
programmers during the development of a software project [2], represent an important factor …