Numerical Coverage Estimation for the Symbolic Simulation of Real-Time Systems
Farn Wang, Geng-Dian Hwang, Fang Yu

TL;DR
This paper introduces three numerical coverage metrics for symbolic simulation of dense-time systems, along with estimation techniques, property analysis, implementation, and experimental validation.
Contribution
It presents novel numerical coverage metrics and estimation methods specifically designed for dense-time symbolic simulation, with detailed property analysis and practical implementation.
Findings
Effective estimation techniques for dense-time state-spaces.
Properties of coverage metrics analyzed against four criteria.
Experimental results demonstrate the metrics' applicability.
Abstract
Three numerical coverage metrics for the symbolic simulation of dense-time systems and their estimation methods are presented. Special techniques to derive numerical estimations of dense-time state-spaces have also been developed. Properties of the metrics are also discussed with respect to four criteria. Implementation and experiments are then reported.
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Taxonomy
TopicsReal-time simulation and control systems · Simulation Techniques and Applications · Real-Time Systems Scheduling
