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FAHP based software reliability allocation concerning operational profile

Author

Listed:
  • Amrita Upadhyay

    (Banasthali Vidyapith)

  • Dilip Kumar Yadav

    (National Institute of Technology)

  • Kuldeep Kumar Yogi

    (Banasthali Vidyapith)

Abstract

Software development relies heavily on reliability apportionment. Using it, reliability goals for modules can be set at design and development stages. However, there are some issues in reliability apportioning at design stage in complex real-world choice situations, which are the involvement of both complexity and uncertainty are present. And the decision-maker may feel more comfortable making fuzzy decisions than precise comparisons because of this. Also, without involving user’s perception about software usage, reliability allocation cannot be performed effectively. Therefore this paper presents an approach, which incorporates user’s view with software manager’s and engineer’s views to provide an effective approach. To deal with the elusiveness present in conclusion making, fuzzy approach has been used. This methodology formulates fuzzy pair wise comparison matrix at different stages to calculate weight of respective element. The proposed model aims to determine the software reliability goals at planning and designing stage.

Suggested Citation

  • Amrita Upadhyay & Dilip Kumar Yadav & Kuldeep Kumar Yogi, 2022. "FAHP based software reliability allocation concerning operational profile," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2583-2593, October.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:5:d:10.1007_s13198-022-01667-5
    DOI: 10.1007/s13198-022-01667-5
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    References listed on IDEAS

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    1. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
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