EM algorithm for discrete software reliability models: a unified parameter estimation method

Author

Okamura, Hiroyuki ; Murayama, Atsushi ; Dohi, Tadashi

Author_Institution

Dept. of Inf. Eng., Hiroshima Univ., Japan

fYear

2004

fDate

25-26 March 2004

Firstpage

219

Lastpage

228

Abstract

In this paper, we consider the discrete software reliability models to assess the software reliability in discrete time circumstance, and develop a unified parameter estimation method based on the EM (Expectation-Maximization) principle. In numerical examples, the effectiveness of the EM algorithm to estimate the model parameters in the discrete software reliability models is investigated with real software error data. It is shown that the proposed method can provide the accurate estimates of model parameters effectively.

Keywords

program testing; software reliability; EM algorithm; discrete software reliability models; discrete time circumstance; expectation-maximization algorithm; unified parameter estimation; Maximum likelihood estimation; Nonlinear equations; Parameter estimation; Phase estimation; Reliability engineering; Software algorithms; Software debugging; Software reliability; Software testing; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

High Assurance Systems Engineering, 2004. Proceedings. Eighth IEEE International Symposium on

ISSN

1530-2059

Print_ISBN

0-7695-2094-4

Type

conf

DOI

10.1109/HASE.2004.1281746

Filename

1281746

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2747598