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Exponential order statistic models of software reliability growth
Jan. 1986 (vol. 12 no. 1)
pp. 12-24
Douglas R. Miller, Department of Operations Research, George Washington University, Washington, DC 20052
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.
Index Terms:
Earth Observing System,Mathematical model,Software reliability,Stochastic processes,Computer bugs,Debugging,software reliability,Complete monotonicity,exponential distribution,non-homogeneous Poisson processes,order statistics,probability models
Citation:
Douglas R. Miller, "Exponential order statistic models of software reliability growth," IEEE Transactions on Software Engineering, vol. 12, no. 1, pp. 12-24, Jan. 1986, doi:10.1109/TSE.1986.6312915
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