An Analysis of Competing Software Reliability Models

Author

Schick, George J. ; Wolverton, Ray W.

Author_Institution

Graduate School of Business Administration, University of Southern California

Issue

2

fYear

1978

fDate

3/1/1978 12:00:00 AM

Firstpage

104

Lastpage

120

Abstract

This paper examines the most widely used reliability models. The models discussed fall into two categories, the data domain and the time domain. Besides tracing the historical development of the various models their advantages and disadvantages are analyzed. This includes models based on discrete as weil as continuous probability distributions. How well a given model performs its purpose in a specific economic environment will determine the usefulness of the model. Each of the models is examined with actual data as to the applicability of the error fmding process.

Keywords

Chebyshev´s inequality; Rayleigh distribution; Weibull distribution; data domain; error detection process; exponential distribution; hazard function; hypergeometric distribution; likelihood function; queuing; software; time domain; Costs; Economic forecasting; Environmental economics; Equations; Predictive models; Resource management; Software packages; Software reliability; Software testing; Space technology; Chebyshev´s inequality; Rayleigh distribution; Weibull distribution; data domain; error detection process; exponential distribution; hazard function; hypergeometric distribution; likelihood function; queuing; software; time domain;

fLanguage

English

Journal_Title

Software Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0098-5589

Type

jour

DOI

10.1109/TSE.1978.231481

Filename

1702504