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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
