Solving maximum likelihood equations for two-parameter software reliability models using grouped data

Author

Knafl, George J.

Author_Institution

Dept. of Comput. Sci. & Inf. Syst., DePaul Univ., Chicago, IL, USA

fYear

1992

fDate

7-10 Oct 1992

Firstpage

205

Lastpage

213

Abstract

Existence conditions are given for maximum likelihood parameter estimates for several commonly employed two-parameter software reliability models. For these models, the maximum likelihood equations can be expressed in terms of a single equation in one unknown. Bounds are given on solutions to these single equations problems to serve as initial intervals for search algorithms like bisection. Uniqueness of the solutions is established in some cases. Results are given for the case of grouped failure data

Keywords

failure analysis; maximum likelihood estimation; parameter estimation; search problems; software reliability; bisection; bounds; existence conditions; grouped failure data; initial intervals; maximum likelihood equations; nonhomogeneous Poisson processes; search algorithms; solution uniqueness; two-parameter software reliability models; Bibliographies; Computer science; Information systems; Maximum likelihood estimation; Parameter estimation; Poisson equations; Predictive models; Random variables; Software engineering; Software reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Reliability Engineering, 1992. Proceedings., Third International Symposium on

Conference_Location

Research Triangle Park, NC

Print_ISBN

0-8186-2975-4

Type

conf

DOI

10.1109/ISSRE.1992.285844

Filename

285844