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- W2081145314 abstract "Abstract A general technique for computing optimal state transition probabilities for software tests, based on a Markov usage model, is developed. The optimization criterion is maximum precision of unbiased dependability estimates derived from the test results. Three different dependability measures are considered: (i) risk, (ii) safety, and (iii) reliability. As input, pre-information on failure probabilities and losses in case of failure related with single operations is used. The optimization itself is done by means of a numerical procedure which is fast because of the convexity of the underlying stochastic optimization problem. The procedure can be improved by the construction of a distribution with a common lower bound on state transition probabilities; this distribution may also be used in the more general context of structural statistical testing of software." @default.
- W2081145314 created "2016-06-24" @default.
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- W2081145314 date "2000-04-01" @default.
- W2081145314 modified "2023-10-14" @default.
- W2081145314 title "Software dependability evaluation based on Markov usage models" @default.
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- W2081145314 doi "https://doi.org/10.1016/s0166-5316(99)00052-8" @default.
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