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A Fast Algorithm to Compute Maximum Likelihood Estimates for the Hypergeometric Software Reliability Model
Hong Kong December 10-December 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/APAQS.2001.990000Second Asia-Pacific Conference on Qua ...
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F. Padberg, Universit?t Karlsruhe
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 sto chastic process underlying the model and prove a recursion formula which is central for most previous work on the hypergeometric software reliability model.
Citation:
F. Padberg, "A Fast Algorithm to Compute Maximum Likelihood Estimates for the Hypergeometric Software Reliability Model," apaqs, pp.0040, Second Asia-Pacific Conference on Quality Software (APAQS'01), 2001
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