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Integration of FAHP and COPRAS-G for Software Component Selection

In: Optimization Models in Software Reliability

Author

Listed:
  • Prarna Mehta

    (University of Delhi)

  • Abhishek Tandon

    (University of Delhi)

  • Himanshu Sharma

    (University of Delhi)

Abstract

Software Quality is directly proportional to firms’ effectiveness. Thus, improving the quality of the software with respect to the clients’ requirement has always been a chasing research field for many researchers. In today’s world, software is being developed using independent components due to its ability to be reused in different software systems’ architecture proficiently. This approach not only improvises the reliability of the software system but also accelerated development phase, reduced system failure risk and in monetary terms has been resourceful approach for a software firm. On the other hand, accommodating a wrong component in a software system can jeopardise it leading to complications to the firm. A structural decision-making mechanism is required for selection Commercial-Off the Shelf (COTS) components based on multiple criteria. In this chapter, Multiple Criteria Decision Making (MCDM) techniques have been implemented to determine the critical weights of the criteria using Fuzzy Analytical hierarchy process (FAHP) and then the COTS component alternatives are evaluated using Complex Proportional Assessment of alternatives with grey Relations (COPRAS-G). The novelty in the proposed algorithm is the application of COPRAS-G which is used to analyse the alternatives of COTS components maximising and minimising respective criteria.

Suggested Citation

  • Prarna Mehta & Abhishek Tandon & Himanshu Sharma, 2022. "Integration of FAHP and COPRAS-G for Software Component Selection," Springer Series in Reliability Engineering, in: Anu G. Aggarwal & Abhishek Tandon & Hoang Pham (ed.), Optimization Models in Software Reliability, pages 263-282, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-030-78919-0_12
    DOI: 10.1007/978-3-030-78919-0_12
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