An EM-Based Scheme for Record Value Statistics Models in Software Reliability Estimation
نویسندگان
چکیده
This paper considers an EM (expectation-maximization) based scheme for record value statistics (RVS) models in software reliability estimation. The RVS model provides one of the generalized modeling frameworks to unify several of existing software reliability models described as non-homogeneous Poisson processes (NHPPs). The proposed EM algorithm gives a numerically stable procedure to compute the maximum likelihood estimates of RVS models. In particular, this paper focuses on an RVS model based on a mixture of exponential distributions. As an illustrative example, we also derive a concrete EM algorithm for the wellknown Musa-Okumoto logarithmic Poisson execution time model by applying our result, and discusses the effectiveness of the EM-based scheme for RVS models with a simple numerical example.
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