Sarro, F;
Al-Subaihin, AA;
(2020)
Exploring The Use of Genetic Algorithm Clustering for Mobile App Categorisation.
In: Aleti, A and Panichella, A, (eds.)
Proceedings of the International Symposium on Search Based Software Engineering.
Springer: Cham.
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Abstract
Search-based approaches have been successfully used as clustering algorithms in several domains. However, little research has looked into their effectiveness for clustering tasks commonly faced in Software Engineering (SE). This short replication paper presents a preliminary investigation on the use of Genetic Algorithm (GA) to the problem of mobile application categorisation. Our results show the feasibility of GA-based clustering for this task, which we hope will foster new avenues for Search-Based Software Engineering (SBSE) research in this area.
| Type: | Proceedings paper |
|---|---|
| Title: | Exploring The Use of Genetic Algorithm Clustering for Mobile App Categorisation |
| Event: | Symposium on Search-Based Software Engineering - 2020 |
| ISBN-13: | 978-3-030-59761-0 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-030-59762-7_13 |
| Publisher version: | https://doi.org/10.1007/978-3-030-59762-7_13 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Software clustering, Mobile applications, Replication study |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10110577 |
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