Title :
A nonparametric software-reliability growth model
Author :
Sofer, Ariela ; Miller, Douglas R.
Author_Institution :
George Mason Univ., Fairfax, VA, USA
fDate :
8/1/1991 12:00:00 AM
Abstract :
The authors (Proc. Eighth Int. Conf. Software Eng., London, England, p.343-4, 1985) previously introduced a nonparametric model for software-reliability growth which is based on complete monotonicity of the failure rate. The authors extend the completely monotone software model by developing a method for providing long-range predictions of reliability growth, based on the model. They derive upper and lower bounds on extrapolation of the failure rate and the mean function. These are then used to obtain estimates for the future software failure rate and the mean future number of failures. Preliminary evaluation indicates that the method is competitive with parametric approaches, while being more robust
Keywords :
software reliability; failure rate monotonicity; nonparametric software-reliability growth model; Computer bugs; Debugging; Extrapolation; Failure analysis; Linear algebra; Parametric statistics; Predictive models; Robustness; Software reliability; Statistical analysis;
Journal_Title :
Reliability, IEEE Transactions on