Clinical experiments can then be performed after deploying the system on real hardware.

This research paper deals with the modeling, simulation and model checking of reconfigurable discreteevent control systems to be distributed on networked devices. A system is composed of software tasks with shared resources to control physical processes. A reconfiguration scenario is assumed to be a run-time automatic operation that modifies the system's structure by adding or removing tasks or resources according to user requirements in order to adapt the whole architecture to its environment. Nevertheless, a reconfiguration can bring the system to a blocking problem that is sometimes unsafe, or violates real-time properties. We define new Petri Nets-based modeling solutions for both tasks and resources to meet these constraints. These solutions are applied to a real case study named Browser-based Reconfigurable Orthopedic Surgery (abbrev. BROS) to illustrate the paper's contribution. A new Petri Nets-based editor and random-simulator named ZiZo is developed to model and simulate the BROS reconfigurable architecture. It is based also on the model checker SESA to apply an exhaustive CTL-based formal verification of this architecture to ensure safe reconfiguration scenarios of tasks and resources.

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