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A Hybrid Genetic Algorithm for Software Architecture Re-Modularization

Author

Listed:
  • Lifeng Mu

    (Shanghai University)

  • Vijayan Sugumaran

    (Oakland University
    Oakland University)

  • Fangyuan Wang

    (Shanghai University)

Abstract

Software architectures have become highly heterogeneous and difficult to maintain due to software evolution and continuous change. Therefore, a software system usually must be restructured in terms of modules containing relatively dependent components to address the system complexity. However, it is challenging to re-modularize systems automatically to improve their maintainability. In this paper, we present a new mathematical programming model for the software re-modularization problem. In contrast to previous research, a novel metric based on the principle of complexity balance is introduced to address the issue of over-cohesiveness. In addition, a hybrid genetic algorithm (HGA) is designed to automatically determine high-quality re-modularization solutions. In the proposed HGA, a heuristic based on edge contraction and vectorization techniques is designed first to generate feature-rich solutions and subsequently implant these solutions as seeds into the initial population. Finally, a customized genetic algorithm (GA) is employed to improve the solution quality. Two sets of test problems are employed to evaluate the performance of the HGA. The first set includes sixteen real-world instances and the second set contains 900 large-scale simulated data. The proposed HGA is compared with two widely adopted algorithms, i.e., the multi-start hill-climbing algorithm (HCA) and the genetic algorithms with group number encoding (GNE). Experimental and statistical results demonstrate that in most cases, the HGA can guarantee better quality solutions than HCA and GNE.

Suggested Citation

  • Lifeng Mu & Vijayan Sugumaran & Fangyuan Wang, 0. "A Hybrid Genetic Algorithm for Software Architecture Re-Modularization," Information Systems Frontiers, Springer, vol. 0, pages 1-29.
    • Handle: RePEc:spr:infosf:v::y::i::d:10.1007_s10796-019-09906-0
    DOI: 10.1007/s10796-019-09906-0
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    References listed on IDEAS

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    1. Tang, J.F. & Mu, L.F. & Kwong, C.K. & Luo, X.G., 2011. "An optimization model for software component selection under multiple applications development," European Journal of Operational Research, Elsevier, vol. 212(2), pages 301-311, July.
    2. Viviane Köhler & Marcia Fampa & Olinto Araújo, 2013. "Mixed-Integer Linear Programming Formulations for the Software Clustering Problem," Computational Optimization and Applications, Springer, vol. 55(1), pages 113-135, May.
    3. Kalaivani Anbarasan & S. Chitrakala, 2018. "Clustering-Based Color Image Segmentation Using Local Maxima," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 14(1), pages 28-47, January.
    4. Sundarraj, R. P. & Talluri, Srinivas, 2003. "A multi-period optimization model for the procurement of component-based enterprise information technologies," European Journal of Operational Research, Elsevier, vol. 146(2), pages 339-351, April.
    5. Kavan Fatehi & Mohsen Rezvani & Mansoor Fateh & Mohammad-Reza Pajoohan, 2018. "Subspace Clustering for High-Dimensional Data Using Cluster Structure Similarity," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 14(3), pages 38-55, July.
    6. Jian Tan & Guoqiang Jiang & Zuogong Wang, 2019. "Evolutionary Game Model of Information Sharing Behavior in Supply Chain Network With Agent-Based Simulation," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 15(2), pages 54-68, April.
    7. Shapu Ren, 2017. "Multicriteria Decision-Making Method Under a Single Valued Neutrosophic Environment," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 13(4), pages 23-37, October.
    8. Fleischmann, Marvin & Amirpur, Miglena & Grupp, Tillmann & Benlian, Alexander & Hess, Thomas, 2016. "The role of software updates in Information Systems continuance - An experimental study from a user perspective," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77128, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

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    3. Doruk Şen & Cem Çağrı Dönmez & Umman Mahir Yıldırım, 0. "A Hybrid Bi-level Metaheuristic for Credit Scoring," Information Systems Frontiers, Springer, vol. 0, pages 1-11.

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