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.
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CITATION STYLE
Al-Subaihin, A. A., & Sarro, F. (2020). Exploring the Use of Genetic Algorithm Clustering for Mobile App Categorisation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12420 LNCS, pp. 181–187). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59762-7_13
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