A Fast Algorithm to Compute Maximum Likelihood Estimates for the Hypergeometric Software Reliability Model
نویسنده
چکیده
We present a fast and exact algorithm to compute maximum likelihood estimates for the number of faults initially contained in a software, using the hypergeometric software reliability model. The algorithm is based on a rigorous mathematical analysis of the growth behavior of the likelihood function for the model. We also clarify the stochastic process underlying the model and prove a recursion formula which is central for most previous work on the hypergeometric software reliability model.
منابع مشابه
Maximum Likelihood Estimates for the Hypergeometric Software Reliability Model
We present a fast and exact novel algorithm to compute maximum likelihood estimates for the number of defects initially contained in a software, using the hypergeometric software reliability model. The algorithm is based on a rigorous and comprehensive mathematical analysis of the growth behavior of the likelihood function for the hypergeometric model. We also study a numerical example taken fr...
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