Severity classification of software code smells using machine learning techniques: A comparative study

A Abdou, N Darwish - Journal of Software: Evolution and …, 2024 - Wiley Online Library
Code smell is a software characteristic that indicates bad symptoms in code design which
causes problems related to software quality. The severity of code smells must be measured …

Code smell severity classification using machine learning techniques

FA Fontana, M Zanoni - Knowledge-Based Systems, 2017 - Elsevier
Several code smells detection tools have been developed providing different results,
because smells can be subjectively interpreted and hence detected in different ways …

Predicting code smells and analysis of predictions: using machine learning techniques and software metrics

MY Mhawish, M Gupta - Journal of Computer Science and Technology, 2020 - Springer
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 …

Machine learning techniques for code smells detection: a systematic mapping study

FL Caram, BRDO Rodrigues… - … Journal of Software …, 2019 - World Scientific
Code smells or bad smells are an accepted approach to identify design flaws in the source
code. Although it has been explored by researchers, the interpretation of programmers is …

Severity classification of code smells using machine-learning methods

S Dewangan, RS Rao, SR Chowdhuri, M Gupta - SN Computer Science, 2023 - Springer
Code smell detection can be very useful for minimizing maintenance costs and improving
software quality. Code smells help developers/programmers, researchers to subjectively …

Code smell severity detection using machine learning

S Hejres, M Hammad - 2021 - IET
Code smells are indications of design issues in software. The importance of early detection
of these indicators helps in improving the maintenance process and raising the efficiency of …

Exploring design smells for smell-based defect prediction

B Sotto-Mayor, A Elmishali, M Kalech… - Engineering Applications of …, 2022 - Elsevier
Defect prediction is commonly used to reduce the effort from the testing phase of software
development. A promising strategy is to use machine learning techniques to predict which …

A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction

S Lujan, F Pecorelli, F Palomba, A De Lucia… - Proceedings of the 4th …, 2020 - dl.acm.org
Code smells are poor implementation choices applied during software evolution that can
affect source code maintainability. While several heuristic-based approaches have been …

[PDF][PDF] Generating code-smell prediction rules using decision tree algorithm and software metrics

MY Mhawish, M Gupta - International Journal of Computer …, 2019 - researchgate.net
Accepted: 12/May/2019, Published: 31/May/2019 Abstract—Code smells identified by
Fowler [1] is as symptoms of possible code or design problems. Code smells have adverse …

Evaluating the accuracy of machine learning algorithms on detecting code smells for different developers

M Hozano, N Antunes, B Fonseca… - … Conference on Enterprise …, 2017 - scitepress.org
Code smells indicate poor implementation choices that may hinder the system maintenance.
Their detection is important for the software quality improvement, but studies suggest that it …