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Fuzzy COTS Selection for Modular Software Systems Based on Cohesion and Coupling under Multiple Applications Environment

Author

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  • Pankaj Gupta

    (Department of Operational Research, University of Delhi, Delhi, India)

  • Shilpi Verma

    (Department of Operational Research, University of Delhi, Delhi, India)

  • Mukesh Kumar Mehlawat

    (Department of Decision Sciences, Apeejay School of Management, Dwarka, New Delhi, India)

Abstract

Due to the rapid growth of development of component based software systems, the selection of optimal commercial-off-the-shelf (COTS) components has become the key of optimization techniques used for the purpose. In this paper, the authors use fuzzy mathematical programming (FMP) for developing bi-objective fuzzy optimization models that aims to select the best-fit COTS components for a modular software system under multiple applications development task. The proposed models maximize the functional performance and minimize the total cost of the software system satisfying the constraints of minimum threshold on intra-modular coupling density and reusability of COTS components. The efficiency of the models is illustrated using a real-world scenario of developing two financial applications for two small-scale industries.

Suggested Citation

  • Pankaj Gupta & Shilpi Verma & Mukesh Kumar Mehlawat, 2012. "Fuzzy COTS Selection for Modular Software Systems Based on Cohesion and Coupling under Multiple Applications Environment," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 3(4), pages 1-18, October.
    • Handle: RePEc:igg:jaec00:v:3:y:2012:i:4:p:1-18
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    Cited by:

    1. Shilpi Verma & Mukesh Kumar Mehlawat & Divya Mahajan, 2022. "Software component evaluation and selection using TOPSIS and fuzzy interactive approach under multiple applications development," Annals of Operations Research, Springer, vol. 312(1), pages 441-471, May.

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