Title :
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
fDate :
3/1/1978 12:00:00 AM
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;
Journal_Title :
Software Engineering, IEEE Transactions on
DOI :
10.1109/TSE.1978.231481