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A generalized software reliability model with stochastic fault-detection rate

  • Reliability and Quality Management in Stochastic Systems
  • Published:
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Abstract

We propose a theoretic model of software reliability where the fault detection rate is a stochastic process. This formulation provides the flexibility in modeling the random environment effects in testing software data. We examine two particular cases: additive and multiplicative noise and provide explicit representations for the expected number of software failures. Examples are included to demonstrate the formulas for specific choices of time dependent total number of faults and distribution of noise.

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Authors and Affiliations

  1. Department of Mathematics, Rutgers University, Pisctacaway, NJ, USA

    Triet Pham

  2. Department of Industrial Engineering, Rutgers University, Pisctacaway, NJ, USA

    Hoang Pham

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  1. Triet Pham
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  2. Hoang Pham
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Correspondence to Triet Pham.

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Pham, T., Pham, H. A generalized software reliability model with stochastic fault-detection rate. Ann Oper Res 277, 83–93 (2019). https://doi.org/10.1007/s10479-017-2486-3

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  • DOI: https://doi.org/10.1007/s10479-017-2486-3

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