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- W4385560480 abstract "Decomposition allows for managing complexity. We show that executable models of behaviour are significantly more decomposable when using a time-triggered semantics than an event-driven semantics. Therefore, we adopt logic-labelled finite machines LLFSMs and show that deterministic static schedules are derived to guarantee value-domain properties and time-domain properties. We illustrate that such a decomposition goes a long way in avoiding the combinatorial space explosion that occurs when attempting to formally verify executable behaviour models. We argue for parametrised machines to foster decomposability and analyse what aspects jeopardise taming the size of Kripke structures for formal verification. We provide three case studies to show that we can transform the models into small, timed Kripke structures and that components can be verified separately by the nuXmv model checker to achieve formal system verification." @default.
- W4385560480 created "2023-08-04" @default.
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- W4385560480 date "2023-01-01" @default.
- W4385560480 modified "2023-09-23" @default.
- W4385560480 title "Decomposable and Executable Models for Verification of Real-Time Systems" @default.
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- W4385560480 doi "https://doi.org/10.1007/978-3-031-38821-7_7" @default.
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