Prioritisation of code clones using a genetic algorithm

Code clones are prevalent, and due to their diverse impact on projects’ quality they require a proper management strategy. Develop GA-based Refactoring-Aware Detection (RAD) approach for prioritisation of code clones. A genetic algorithm (GA) that balances estimated gain and cost/risk of refactoring...

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Bibliographic Details
Published inInformation and software technology Vol. 170; p. 107443
Main Authors Azadi, Umberto, Walter, Bartosz, Fontana, Francesca Arcelli
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.06.2024
Subjects
Clone prioritisation
Clone refactoring
Code clones
Code duplicates
Genetic algorithm
Code duplicates
Clone prioritisation
Code clones
Genetic algorithm
Clone refactoring
Online AccessGet full text
ISSN0950-5849
1873-6025
DOI10.1016/j.infsof.2024.107443

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Summary:Code clones are prevalent, and due to their diverse impact on projects’ quality they require a proper management strategy. Develop GA-based Refactoring-Aware Detection (RAD) approach for prioritisation of code clones. A genetic algorithm (GA) that balances estimated gain and cost/risk of refactoring to select the optimal clone candidate to refactor. GA converges on a solution, with diverse variance. The value of fitness function is higher for multi-objective approaches, but they also exhibit higher variance. GA can be effectively applied for clone prioritising.
ISSN:0950-5849
1873-6025
DOI:10.1016/j.infsof.2024.107443