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» Bound-Preserving Composition for Markov Reward Models
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QEST
2006
IEEE
13 years 10 months ago
Bound-Preserving Composition for Markov Reward Models
Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
David Daly, Peter Buchholz, William H. Sanders
IPPS
2007
IEEE
13 years 11 months ago
A Markov Reward Model for Software Reliability
A compositional method for estimating software reliability of many threaded programs is developed. The method uses estimates of the reliability of individual modules and the proba...
YoungMin Kwon, Gul Agha