Prioritization of code clones using a genetic algorithm

Umberto Azadi; Bartosz Walter; Francesca Arcelli Fontana

doi:10.1016/j.infsof.2024.107443

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Title

Prioritization of code clones using a genetic algorithm

Authors

Umberto Azadi
Bartosz Walter (WIiT) ^{[ 1 ][ 2.3 ][ P ]}
Francesca Arcelli Fontana

^{[ 1 ]} Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2024

Published in

Information and Software Technology

Journal year: 2024 | Journal volume: vol. 170

Article type

scientific article

Publication language

english

Keywords

EN

Code duplicates Code clones
Genetic algorithm
Clone refactoring
Clone prioritisation

Abstract

EN Context: Code clones are prevalent, and due to their diverse impact on projects’ quality they require a proper management strategy. Objectives: Develop GA-based Refactoring-Aware Detection (RAD) approach for prioritisation of code clones. Method: A genetic algorithm (GA) that balances estimated gain and cost/risk of refactoring to select the optimal clone candidate to refactor. Results: 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. Conclusion: GA can be effectively applied for clone prioritising.

Date of online publication

19.03.2024

Pages (from - to)

107443-1 - 107443-4

DOI

10.1016/j.infsof.2024.107443

URL

https://www.sciencedirect.com/science/article/pii/S095058492400048X?dgcid=author

Comments

Article Number: 107443

Ministry points / journal

140