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Title: | Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation |
Authors: | Mann, A Swift, S Arzoky, M |
Keywords: | software engineering;heuristic search;software modularisation;graph partitioning |
Issue Date: | 21-Mar-2024 |
Publisher: | Springer Nature |
Citation: | Mann, A., Swift, S. and Arzoky, M. (2024) 'Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14634 LNCS). Cham: Springer Nature, pp. 240 - 258. doi: 10.1007/978-3-031-56852-7_16. |
Series/Report no.: | International Conference on the Applications of Evolutionary Computation (Part of EvoStar); Lecture Notes in Computer Science (LNCS);volume 14634 |
Abstract: | Software modularisation is a pivotal facet within software engineering, seeking to optimise the arrangement of software components based on their interrelationships. Despite extensive investigations in this domain, particularly concerning evolutionary computation, the research emphasis has transitioned towards solution design and convergence analysis rather than pioneering methodologies. The primary objective is to attain efficient solutions within a pragmatic timeframe. Recent research posits that initial positions in the search space wield minimal influence, given the prevalent trend of methods converging upon akin local optima. This paper delves into this phenomenon comprehensively, employing graph partitioning techniques on dependency graphs to generate initial clustering arrangement seeds. Our empirical discoveries challenge conventional insight, underscoring the pivotal role of seed selection in software modularisation to enhance overall outcomes. |
URI: | https://bura.brunel.ac.uk/handle/2438/28780 |
DOI: | https://doi.org/10.1007/978-3-031-56852-7_16 |
ISBN: | 978-3-031-56851-0 (hbk) 978-3-031-56852-7 (ebk) |
ISSN: | 0302-9743 |
Other Identifiers: | ORCiD: Stephen Swift https://orcid.org/0000-0001-8918-3365 ORCiD: Mahir Arzoky https://orcid.org/0000-0002-2721-643X |
Appears in Collections: | Dept of Computer Science Embargoed Research Papers |
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FullText.pdf | Embargoed until 21 March 2025 | 495.36 kB | Adobe PDF | View/Open |
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