DocumentCode
2340303
Title
A fast algorithm to compute maximum likelihood estimates for the hypergeometric software reliability model
Author
Padberg, Frank
Author_Institution
Fak. fur Inf., Karlsruhe Univ., Germany
fYear
2001
fDate
2001
Firstpage
40
Lastpage
49
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality Software, 2001. Proceedings.Second Asia-Pacific Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-1287-9
Type
conf
DOI
10.1109/APAQS.2001.990000
Filename
990000
Link To Document