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Evaluation of reliability of critical software system using fuzzy approach

Author

Listed:
  • Sanjay Kumar Dubey

    (Amity University Uttar Pradesh)

  • Shivani Singh

    (Amity University Uttar Pradesh)

  • Harsh Chaudhary

    (Amity University Uttar Pradesh)

Abstract

The demand for reliable critical software system is increasing in exponential way. In critical software system reliability is considered as an important quality factor. Reliability itself depends on various factors. To develop reliable critical software system it is very important to evaluate reliability in active and efficient manner. Soft Computing techniques are effective in assessment of models. The main objective of this study is to develop a reliability model that is based on important factors. The secondary objective is to evaluate the model by using fuzzy logic/soft computing. Since multiple factors have impact on reliability so fuzzy logic will help to provide specific solution for imprecise and ambiguous concepts by converting vague information into a good judgmental model Critical software system selection is a complex task. Four factors are considered to evaluate the reliability. Then the evaluation results are validated by using defuzzification. The proposed model can be implemented for various applications in an effective manner.

Suggested Citation

  • Sanjay Kumar Dubey & Shivani Singh & Harsh Chaudhary, 2017. "Evaluation of reliability of critical software system using fuzzy approach," 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. 8(2), pages 1327-1335, November.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-017-0603-y
    DOI: 10.1007/s13198-017-0603-y
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    References listed on IDEAS

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    1. P.K. Kapur & Hoang Pham & A. Gupta & P.C. Jha, 2011. "Software Reliability Assessment with OR Applications," Springer Series in Reliability Engineering, Springer, number 978-0-85729-204-9, September.
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