Measuring software reliability: a fuzzy model

  • Authors:
  • Ravinder Kumar;Kiran Khatter;Arvind Kalia

  • Affiliations:
  • Ansal Institute of Technology, Sector -- 55, Gurgaon, India;Ansal Institute of Technology, Sector -- 55, Gurgaon, India;H P University, Shimla, India

  • Venue:
  • ACM SIGSOFT Software Engineering Notes
  • Year:
  • 2011

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Abstract

Software reliability is an essential part of software engineering to ensure the quality of a system. There are various techniques, which can be used in building models for predicting quality attributes. This paper presents a Fuzzy model for software reliability prediction. We have proposed three parameters Availability, Failure Probability and Recoverability as an integrated measure of software reliability. Fuzzy Model provides a way to arrive at a discrete Reliability Non-functional requirement (NFR) in contrast to imprecise, vague and ambiguous. This model will help us to evolve intermediate stages between reliable state and unreliable state of a system. Results obtained by proposed model show that this is suitable for predicting software reliability of the software.