International audienceWe propose a new simulation-based technique for verifying applications running within a large heterogeneous system. Our technique starts by performing simulations of the system in order to learn the context in which the application is used. Then, it creates a stochastic abstraction for the application, which takes the context information into account. This smaller model can be verified using efficient techniques such as statistical model checking. We have applied our technique to an industrial case study: the cabin communication system of an airplane. We use the BIP toolset to model and simulate the system. We have conducted experiments to verify the clock synchronization protocol i.e., the application used to synchron...
Big Data Applications (BDAs) manage so much data to require a cluster of machines for computation an...
The original publication is available at www.springerlink.comInternational audienceSimGrid MC is a s...
Big Data Applications (BDAs) manage so much data to require a cluster of machines for computation an...
We propose a new simulation-based technique for verifying applications running within a large hetero...
International audienceWe propose a new simulation-based technique for verifying applications running...
International audienceWe propose a new simulation-based technique for verifying applications running...
Abstract. We propose a new simulation-based technique for verifying applications running within a la...
International audienceIn this paper, we present an approach to perform statistical model-checking ov...
International audienceThis paper considers the rigorous design of Systems of Systems (SoS), i.e. sys...
International audienceTransaction-level modeling with SystemC has been very successful in describing...
International audienceMonte Carlo simulations may be used to efficiently estimate critical propertie...
International audienceBIP is a component-based framework supporting rigorous design of embedded syst...
International audienceBIP is a component-based framework sup-porting rigorous design of embedded sys...
Big Data Applications (BDAs) manage so much data to require a cluster of machines for computation an...
The original publication is available at www.springerlink.comInternational audienceSimGrid MC is a s...
Big Data Applications (BDAs) manage so much data to require a cluster of machines for computation an...
We propose a new simulation-based technique for verifying applications running within a large hetero...
International audienceWe propose a new simulation-based technique for verifying applications running...
International audienceWe propose a new simulation-based technique for verifying applications running...
Abstract. We propose a new simulation-based technique for verifying applications running within a la...
International audienceIn this paper, we present an approach to perform statistical model-checking ov...
International audienceThis paper considers the rigorous design of Systems of Systems (SoS), i.e. sys...
International audienceTransaction-level modeling with SystemC has been very successful in describing...
International audienceMonte Carlo simulations may be used to efficiently estimate critical propertie...
International audienceBIP is a component-based framework supporting rigorous design of embedded syst...
International audienceBIP is a component-based framework sup-porting rigorous design of embedded sys...
Big Data Applications (BDAs) manage so much data to require a cluster of machines for computation an...
The original publication is available at www.springerlink.comInternational audienceSimGrid MC is a s...
Big Data Applications (BDAs) manage so much data to require a cluster of machines for computation an...