Computer Science ›› 2011, Vol. 38 ›› Issue (12): 135-138.
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Abstract: Importance sampling is a changcof-measure technique for speeding up the simulation of rare events in stodrastic systems. In this paper we established a technictue for computing optimal state transition probabilities for software reliability estimation based on a Markov usage model. I3y suitable changes of the probabilities of state transitions during test, an iterative method based on the Ali Silvey distance was proposed for this choice. A learning algorithm for the computation of optimal transition probabilities of the Markov chain usage model was also presented and experimental results of this algorithm were reported.
Key words: Software reliability, Statistical testing, Markov usage model, Importance sampling, Ali-silvcy distance
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