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Titlebook: Integrated Formal Methods; 17th International C Maurice H. ter Beek,Rosemary Monahan Conference proceedings 2022 Springer Nature Switzerlan

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31#
發(fā)表于 2025-3-26 22:36:30 | 只看該作者
Reachability Analysis and?Simulation for?Hybridised Event-B Modelss from the complex nature of cyber-physical systems which have deeply intertwined physical processes, computation and networking system aspects. To provide the highest level of assurance, cyber-physical systems should be modelled and reasoned about at a system-level as their safety depends on a corr
32#
發(fā)表于 2025-3-27 02:43:08 | 只看該作者
Operation Caching and?State Compression for?Model Checking of?High-Level Modelseffectively to high-level models, while others, like symmetry reduction, rarely apply to more complex real-life models. In this paper we present two techniques—state compression and operation caching—that are applicable to a wide range of models. These techniques were implemented in the ProB model c
33#
發(fā)表于 2025-3-27 06:32:57 | 只看該作者
34#
發(fā)表于 2025-3-27 10:02:40 | 只看該作者
Untangling the?Graphs of?Timed Automata to?Decrease the?Number of?Clocksowever, possible to obtain a number of clocks that is optimal, in a well-defined sense, for a timed automaton with a given graph and set of constraints. Such an optimal allocation of clocks can be improved further by changing the automaton’s graph or its set of constraints. We address the first kind
35#
發(fā)表于 2025-3-27 14:22:22 | 只看該作者
Probabilistic Model Checking of BPMN Processes at Runtimewhich results in a service or product. Before running a BPMN process, the user often has no clear idea of the probability of executing some task or specific combination of tasks. This is, however, of prime importance for adjusting resources associated with tasks and thus optimising costs. In this pa
36#
發(fā)表于 2025-3-27 18:07:58 | 只看該作者
37#
發(fā)表于 2025-3-27 23:21:47 | 只看該作者
Learning Finite State Models from Recurrent Neural Networksxtraction of finite state models, like deterministic automata, has been shown to be a promising concept for analyzing RNNs. In this paper, we apply a black-box approach based on active automata learning combined with model-guided conformance testing to learn finite state machines (FSMs) from RNNs. T
38#
發(fā)表于 2025-3-28 05:13:33 | 只看該作者
39#
發(fā)表于 2025-3-28 07:17:10 | 只看該作者
Louise A. Dennisigers bei der Entwicklung und Erprobung des mikroklimatischen Me?ger?tes ausgenutzt werden. Einen gro?en Teil seiner kleinklimatischen Untersuchungen hatte Geiger mit dem in der Gro?klimatologie üblichen Instrumentarium angestellt und damit wesentliche Fortschritte erzielt. Diese Erfahrungen wurden
40#
發(fā)表于 2025-3-28 13:36:38 | 只看該作者
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