Section: New Results

Multiple Services for Device Adaptive Platform for Scenario Recognition

Participants : Annie Ressouche, Daniel Gaffé, Mohammed Cherif Bergheul, Jean-Yves Tigli.

Keywords: Synchronous Modelling, Model checking, Mealy machine, Ubiquitous Computing.

The aim of this research axis is to federate the inherent constraints of an activity recognition platform like SUP (see section  5.1 ) with a service oriented middleware approach dealing with dynamic evolutions of system infrastructure. The Rainbow team (Nice-Sophia Antipolis University) proposes a component-based adaptive middleware (WComp  [88] , [87] , [73] ) to dynamically adapt and recompose assemblies of components. These operations must obey the "usage contract" of components. The existing approaches don't really ensure that this usage contract is not violated during application design. Only a formal analysis of the component behaviour models associated with a well sound modelling of composition operation may guarantee the respect of the usage contract.

The approach we adopted introduces in a main assembly, a synchronous component for each sub assembly connected with a critical component. This additional component implements a behavioural model of the critical component and model checking techniques apply to verify safety properties concerning this critical component. Thus, we consider that the critical component is validated.

In [84] , [83] , we showed that an efficient means to define the synchronous components which allow to validate critical component behaviours, is to specify them with Mealy machines. Previously, we used a classical synchronous language (Lustre) to specify synchronous components, but the integration of the synchronous component code into WComp was not straightforward because Lustre compiler is not opened and cannot integrate new target code needed by WComp. This year, we supply galaxy automata editor to express Mealy machines and we extend autom2circuit compiler to generate the internal code of WComp (C#). autom2circuit is a tool developed by D. Gaffé since several years which compiles an explicit representation of automata into Boolean Mealy machine and generate a large and opened set of targets. This work is a preliminary study to integrate this generation of C# into clem .