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This approach involves model checking as an automated means of verifying choreography conformance.
In present article, we introduce probabilistic model checking as an efficient tool-assisted approach for systematically quantifying DoS security threats.
Our approach is specifically designed to allow behavioural properties of BPMN diagrams to be mechanically verified via automatic model checking as provided by the FDR tool.
In this contribution the combination of Signal Interpreted Petri Nets (SIPN) as formal model and symbolic model checking as verification method is proposed.
As the interactions between tasks are taken into account during schedulability analysis, systems deemed unschedulable using traditional response time analysis may be deemed schedulable using model checking as demonstrated in [23].
Posterior predictive simulation was used for model checking as described by Gilks et al. [ 28].
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These scenarios were then compared in a final run, simulating 10 datasets per scenario, using the same priors, summary statistics, and model checks as outlined above.
We used both theorem-proving (PVS) and model checking (Spin) as verification strategies.
In the process, we take the self-adaptive architecture model and the model checking technique as the controlled object and controller, respectively.
This work proposes an Urgent Timed Automata (UTA) model with zone-based urgency semantics that gives the same model checking results as absolute urgency semantics of other existing urgency variants of the timed automata model, including timed automata with deadlines and timed automata with urgent transitions.
The modular architecture of Mudi is separated into the inference engine and the model checking layers as depicted in Figure 6.
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