Title: PSO-MoSR: a PSO-based multi-objective software remodularisation

Authors: Amarjeet Prajapati; Sanjeev Kumar

Addresses: Department of CSE and IT, Jaypee Institute of Information Technology, Noida, India ' Department of Computer Engineering, ABESIT Ghaziabad, India

Abstract: The quality of modular structure of a software system highly affects the success of a software project. Software remodularisation which is used to improve the software structure is a complex task and involves the optimisation of multiple conflicting aspects. To address the optimisation of multiple objectives, many metaheuristic optimisation algorithms have been designed. The customisation of these algorithms according to the suitability of real-world multi-objective software remodularisation problem is a challenging task. In this article, particle swarm optimisation (PSO) a widely used metaheuristic heuristic technique is customised and proposed a PSO-based multi-objective software remodularisation (PSO-MoSR) to address the optimisation of multiple objective issues of software remodularisation. The effectiveness of the proposed PSO-MoSR is evaluated by conducting several experiments by modularising 17 real-world software systems.

Keywords: remodularisation; restructuring; optimisation; module clustering.

DOI: 10.1504/IJBIC.2020.108593

International Journal of Bio-Inspired Computation, 2020 Vol.15 No.4, pp.254 - 263

Accepted: 19 Jan 2020
Published online: 20 Jul 2020 *

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