Data stability in an application of a software reliability model

Author

Gentzler, George L., Jr. ; Andrews, Nelson M.

Author_Institution

AG Commun. Syst. Corp., Phoenix, AZ, USA

Volume

8

Issue

2

fYear

1990

fDate

2/1/1990 12:00:00 AM

Firstpage

273

Lastpage

275

Abstract

The Goel-Okumoto (1979) model of reliability growth is applied to the failure data for a large software development project. This is done by fitting the model parameters to the error counts and test times, which are periodically tabulated. In the early phases of system testing, the problem of inaccurate estimation due to insufficient reliability growth occurs. A simple test is devised to measure the stability of the data with respect to this problem. In practice, such a test on the data can be used to determine when system testing has sufficiently progressed to allow one to expect reasonable estimates from reliability growth models

Keywords

data analysis; quality control; software reliability; telecommunications computing; Goel-Okumoto model; data stability; error counts; failure data; model parameters; reliability growth models; software development project; software reliability model; system testing; test times; Application software; Costs; Debugging; Parameter estimation; Phase estimation; Programming; Software reliability; Stability; Stochastic processes; System testing;

fLanguage

English

Journal_Title

Selected Areas in Communications, IEEE Journal on

Publisher

ieee

ISSN

0733-8716

Type

jour

DOI

10.1109/49.46881

Filename

46881