Title :
A fast algorithm to compute maximum likelihood estimates for the hypergeometric software reliability model
Author_Institution :
Fak. fur Inf., Karlsruhe Univ., Germany
Abstract :
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
Keywords :
maximum likelihood estimation; software reliability; growth behavior; hypergeometric software reliability model; likelihood function; mathematical analysis; maximum likelihood estimates; project management; recursion formula; stochastic process; Equations; Fault detection; Maximum likelihood detection; Maximum likelihood estimation; Software algorithms; Software debugging; Software quality; Software reliability; Software testing; Stochastic processes;
Conference_Titel :
Quality Software, 2001. Proceedings.Second Asia-Pacific Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-1287-9
DOI :
10.1109/APAQS.2001.990000
