Statistical abstraction and model-checking of large heterogeneous systems

  • Authors:
  • Ananda Basu;Saddek Bensalem;Marius Bozga;Benoît Caillaud;Benoît Delahaye;Axel Legay

  • Affiliations:
  • Verimag Laboratory, Université Joseph Fourier Grenoble, CNRS;Verimag Laboratory, Université Joseph Fourier Grenoble, CNRS;Verimag Laboratory, Université Joseph Fourier Grenoble, CNRS;INRIA/IRISA, Rennes, France;Université de Rennes 1/IRISA, Rennes, France;INRIA/IRISA, Rennes, France

  • Venue:
  • FMOODS'10/FORTE'10 Proceedings of the 12th IFIP WG 6.1 international conference and 30th IFIP WG 6.1 international conference on Formal Techniques for Distributed Systems
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

We 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 synchronize the clocks of all computing devices within the system.