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Selection of Software Development Model Using TOPSIS Methodology

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Data and Communication Networks

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 847))

Abstract

In software industry, the software project failure is a serious concern for stakeholders. The company suffers a huge financial loss in a year due to the team’s negligence and irresponsibility. It can happen because of mismanagement in decision making at any stage of project development. But the study conducted so far cites several causes such as unarticulated project goals, mishandling of requirements, poor estimation of resources, sloppy software development life-cycle model. The paper tries to reduce the effort of decision-makers and project team by outlining the significance of TOPSIS model. The statistical and quantitative analysis is the main feature of TOPSIS. It accomplishes the experts’ job by validating their opinions. It prioritizes the defined options after evaluating them against confliction and multiple attributes. The research proposes a decision-making framework for the selection of software development model using one of the widely accepted multicriteria decision-making tools, i.e., TOPSIS.

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Author information

Authors and Affiliations

  1. Computer Science, Galgotias University, Greater Noida, 201310, India

    Dayanand Gaur

  2. Software Engineering, Galgotias University, Greater Noida, 201310, India

    Sakshi Aggarwal

Authors
  1. Dayanand Gaur
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  2. Sakshi Aggarwal
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Corresponding author

Correspondence to Sakshi Aggarwal .

Editor information

Editors and Affiliations

  1. University of Canberra, Adelaide, SA, Australia

    Lakhmi C. Jain

  2. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  3. School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India

    Prashant Johri

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Gaur, D., Aggarwal, S. (2019). Selection of Software Development Model Using TOPSIS Methodology. In: Jain, L., E. Balas, V., Johri, P. (eds) Data and Communication Networks. Advances in Intelligent Systems and Computing, vol 847. Springer, Singapore. https://doi.org/10.1007/978-981-13-2254-9_11

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  • DOI: https://doi.org/10.1007/978-981-13-2254-9_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2253-2

  • Online ISBN: 978-981-13-2254-9

  • eBook Packages: EngineeringEngineering (R0)

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