A generalized software reliability model with stochastic fault-detection rate
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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.
KeywordsNon-homogeneous Poisson process Software reliability model Stochastic fault-detection rate
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