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Formal Modeling and Analysis of Medical Systems

Abstract : Medical systems are composed of medical devices and apps which are developed independently by different vendors. A set of communication patterns, based on asynchronous message-passing, has been proposed to loosely integrate medical devices and apps. These patterns guarantee the point-to-point quality of communication service (QoS) by local inspection of messages at its constituent components. These local mechanisms inspect the property of messages to enforce a set of parametrized local QoS properties. Adjusting these parameters to achieve the required point-to-point QoS is non-trivial and depends on the involved components and the underlying network. We use Timed Rebeca, an actor-based formal modeling language, to model such systems and asses their QoS properties by model checking. We model the components of communication patterns as distinct actors. A composite medical system using several instances of patterns is subject to state-space explosion. We propose a reduction technique preserving QoS properties. We prove that our technique is sound and show the applicability of our approach in reducing the state space by modeling a clinical scenario made of several instances of patterns.
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https://hal.inria.fr/hal-03273989
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Submitted on : Tuesday, June 29, 2021 - 4:12:57 PM
Last modification on : Tuesday, June 29, 2021 - 4:30:43 PM
Long-term archiving on: : Thursday, September 30, 2021 - 7:13:29 PM

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Mahsa Zarneshan, Fatemeh Ghassemi, Marjan Sirjani. Formal Modeling and Analysis of Medical Systems. 22th International Conference on Coordination Languages and Models (COORDINATION), Jun 2020, Valletta, Malta. pp.386-402, ⟨10.1007/978-3-030-50029-0_24⟩. ⟨hal-03273989⟩

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