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Detecting Code Smells

Code smells, defined as detrimental patterns and design choices in software development, significantly impact various aspects of Software Quality, such as maintainability, reuseability, and stability. These harmful effects can disrupt the software development cycle and result in a waste of development and managerial resources.
openaire   +2 more sources

Code smell detection using feature selection and stacking ensemble: An empirical investigation

Information and Software Technology, 2021
Hamoud Aljamaan   +2 more
exaly  

Code smell detection and identification in imbalanced environments

Expert Systems With Applications, 2021
Sofien Boutaib   +2 more
exaly  

On the relative value of imbalanced learning for code smell detection

Software - Practice and Experience, 2023
Shuo Feng, Jacky Wai Keung, Xiao Yu
exaly  

Code smell detection by deep direct-learning and transfer-learning

Journal of Systems and Software, 2021
Tushar Sharma   +2 more
exaly  

An automated extract method refactoring approach to correct the long method code smell

Journal of Systems and Software, 2022
Mehrdad Ashtiani   +1 more
exaly  

Recommendations for Developers Identifying Code Smells

IEEE Software, 2023
Rafael Maiani de Mello   +6 more
openaire   +1 more source

Does it smell? A homogeneous stacking approach for code smell prediction

Information and Software Technology
Rim El Jammal, Danielle Azar
openaire   +2 more sources

Code smell severity classification using machine learning techniques

Knowledge-Based Systems, 2017
Francesca Arcelli Fontana, Marco Zanoni
exaly  

Comparing and experimenting machine learning techniques for code smell detection

Empirical Software Engineering, 2015
Francesca Arcelli Fontana   +2 more
exaly  

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