A Fast Algorithm to Compute Maximum Likelihood Estimates for the Hypergeometric Software Reliability Model

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Second Asia-Pacific Conference on Quality Software (APAQS'01)

Hong Kong

December 10-December 11

ISBN: 0-7695-1287-9

	ASCII Text	x
	F. Padberg, "A Fast Algorithm to Compute Maximum Likelihood Estimates for the Hypergeometric Software Reliability Model," Asia-Pacific Conference on Quality Software, pp. 0040, Second Asia-Pacific Conference on Quality Software (APAQS'01), 2001.

	BibTex	x
	@article{ 10.1109/APAQS.2001.990000, author = {F. Padberg}, title = {A Fast Algorithm to Compute Maximum Likelihood Estimates for the Hypergeometric Software Reliability Model}, journal ={Asia-Pacific Conference on Quality Software}, volume = {0}, year = {2001}, isbn = {0-7695-1287-9}, pages = {0040}, doi = {http://doi.ieeecomputersociety.org/10.1109/APAQS.2001.990000}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Asia-Pacific Conference on Quality Software TI - A Fast Algorithm to Compute Maximum Likelihood Estimates for the Hypergeometric Software Reliability Model SN - 0-7695-1287-9 SP EP A1 - F. Padberg, PY - 2001 VL - 0 JA - Asia-Pacific Conference on Quality Software ER -

F. Padberg, Universit?t Karlsruhe

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/APAQS.2001.990000

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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