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A Hybrid Approach for Selecting Optimal COTS Products

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Computational Science and Its Applications – ICCSA 2009 (ICCSA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5592))

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Abstract

This paper develops a hybrid approach for selecting the optimal Commercial Off-The-Shelf (COTS) software product among alternatives for each module in the development of modular software systems. We draw on multiple methodologies such as quality models (ISO/IEC 9126), analytical hierarchy process (AHP) and fuzzy mathematical programming (FMP) for developing fuzzy multiobjective optimization models for selecting the optimal COTS software products. The objective functions of the models are to maximize the weighted quality and minimize the cost subject to the limitation of the incompatibility among COTS products. The software system consists of several programs, where a specific function of each program can call upon a series of modules. Each module in a software system has different levels of importance that depends on access frequency. For this reason, this study assign different weights to the modules according to their access frequencies using AHP.

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Author information

Authors and Affiliations

  1. Department of Operational Research, University of Delhi, Delhi, India

    Pankaj Gupta, Mukesh Kumar Mehlawat, Garima Mittal & Shilpi Verma

Authors
  1. Pankaj Gupta
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  2. Mukesh Kumar Mehlawat
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  3. Garima Mittal
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  4. Shilpi Verma
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  2. School of Business Systems, Monash University, 3800, Clayton, Victoria, Australia

    David Taniar

  3. L.I.S.U.T. - D.A.P.I.T., University of Basilicata, Viale dell’Ateneo Lucano 10, 85100, Potenza, Italy

    Beniamino Murgante

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, 06123, Perugia, Italy

    Antonio Laganà

  5. School of Computing, Computer Communication Laboratory, SoongSil University, 1-1 Sang-do 5 Dong, Dong-jak Ku, 156-743, Seoul, Korea

    Youngsong Mun

  6. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

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© 2009 Springer-Verlag Berlin Heidelberg

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Gupta, P., Mehlawat, M.K., Mittal, G., Verma, S. (2009). A Hybrid Approach for Selecting Optimal COTS Products. In: Gervasi, O., Taniar, D., Murgante, B., Laganà, A., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2009. ICCSA 2009. Lecture Notes in Computer Science, vol 5592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02454-2_74

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  • DOI: https://doi.org/10.1007/978-3-642-02454-2_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02453-5

  • Online ISBN: 978-3-642-02454-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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