An enhanced multifactor multiobjective approach for software modularization

Khan, M. Z., Naseem, R., Anwar, A., ul-Haq, I., Hussain, S., Alroobaea, R., Ullah, S. S. and Umar, F. (2022) An enhanced multifactor multiobjective approach for software modularization. Mathematical Problems in Engineering, 2022, 7960610. (doi: 10.1155/2022/7960610)

Abstract

Complex software systems, meant to facilitate organizations, undergo frequent upgrades that can erode the system architectures. Such erosion makes understandability and maintenance a challenging task. To this end, software modularization provides an architectural-level view that helps to understand system architecture from its source code. For modularization, nondeterministic search-based optimization uses single-factor single-objective, multifactor single-objective, and single-factor multiobjective, which have been shown to outperform deterministic approaches. The proposed MFMO approach, which uses both a heuristic (Hill Climbing and Genetic) and a meta-heuristic (nondominated sorting genetic algorithms NSGA-II and III), was evaluated using five data sets of different sizes and complexity. In comparison to leading software modularization techniques, the results show an improvement of 4.13% in Move and Join operations (MoJo, MoJoFM, and NED).

• Item Type: Articles
• Additional Information: The authors are grateful to the Taif University Researchers Supporting Project number (TURSP-2020/36), Taif University, Taif, Saudi Arabia.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Khan, Muhammad Zakir
• Authors: Khan, M. Z., Naseem, R., Anwar, A., ul-Haq, I., Hussain, S., Alroobaea, R., Ullah, S. S., and Umar, F.
• College/School: College of Science and Engineering
• Journal Name: Mathematical Problems in Engineering
• Publisher: Hindawi
• ISSN: 1024-123X
• ISSN (Online): 1563-5147
• Copyright Holders: Copyright © 2022 Muhammad Zakir Khan et al.
• First Published: First published in Mathematical Problems in Engineering 2022:7960610
• Publisher Policy: Reproduced under a Creative Commons licence