Computing optimal tests for non-deterministic systems using DNNF graphs
The goal of testing is to distinguish between a number of hypotheses about a system-for example, different diagnoses of faults-by applying input patterns and verifying or falsifying the hypotheses from the observed outputs. Optimal distinguishing tests (ODTs) are those input patterns that are most likely to distinguish between hypotheses about non-deterministic systems. Finding ODTs is practically important, but it amounts in general to determining a ratio of model counts and is therefore...[Show more]
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|Source:||Proceedings of The 5th Workshop on Model-Based Testing (MBT-2009)|
|01_Schumann_Computing_optimal_tests_for_2009.pdf||280.83 kB||Adobe PDF||Request a copy|
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