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STARS: A Tool for Measuring Scenario Coverage When Testing Autonomous Robotic Systemsthe automotive domain. To enable statements on the absolute number or fractions of tested scenarios, methods and tools for computing their coverage are needed. In this paper, we present STARS, a tool for specifying semantic environment features and measuring scenario coverage when testing autonomous systems.Thyroiditis 发表于 2025-3-22 10:45:26
https://doi.org/10.1007/978-3-0348-9236-0testing methods, become infeasible. Virtual testing seems like a promising alternative to traditional methods, especially as part of a scenario-based verification and validation methodology. But in order to transfer the test results of a system from a simulation to the real world, we need to argue tamygdala 发表于 2025-3-22 15:49:14
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Linear Discrete Dynamical Systems,an be not avoided, system-specific instantiations of assurance case patterns are both costly and time-consuming. It becomes especially complex to maintain an assurance case for a system when the requirements of the System-Under-Assurance change, or an assurance claim becomes invalid due to, e.g., deParadox 发表于 2025-3-23 06:05:32
Computational Dynamical Systems Using XPPAUTthe automotive domain. To enable statements on the absolute number or fractions of tested scenarios, methods and tools for computing their coverage are needed. In this paper, we present STARS, a tool for specifying semantic environment features and measuring scenario coverage when testing autonomous