Title :
Exponential order statistic models of software reliability growth
Author :
Miller, Douglas R.
Author_Institution :
Dept. of Operations Res., George Washington Univ., Washington, DC, USA
Abstract :
Failure times of a software reliability growth process are modeled as order statistics of independent, nonidentically distributed exponential random variables. The Jelinsky-Moranda, Goel-Okumoto, Littlewood, Musa-Okumoto logarithmic, and power law models are all special cases of exponential order statistic models, but there are many additional examples as well. Various characterizations, properties, and examples of this class of models are developed and presented.
Keywords :
reliability theory; software reliability; statistical analysis; Goel-Okumoto models; Jelinsky-Moranda models; Littlewood model; Musa-Okumoto model; distributed exponential random variables; order statistics; power law models; software reliability growth; statistic models; Computer bugs; Debugging; Earth Observing System; Mathematical model; Software reliability; Stochastic processes; Complete monotonicity; exponential distribution; non-homogeneous Poisson processes; order statistics; probability models; software reliability;
Journal_Title :
Software Engineering, IEEE Transactions on
DOI :
10.1109/TSE.1986.6312915
