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Runtime Verification of Stochastic, Faulty Systems

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Runtime Verification (RV 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6418))

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Abstract

We desire a capability for the lifelong verification of complex embedded systems that degrade over time, such as a semi-autonomous car. The field of runtime verification has developed many tools for monitoring the safety of software systems in real time. However, these tools do not allow for uncertainty in the system’s state or failure, both of which are essential for monitoring hardware as it degrades. This work augments runtime verification with techniques from model-based estimation in order to provide a capability for monitoring the safety criteria of mixed hardware/software systems that is robust to uncertainty and hardware failure.

We begin by framing the problem as runtime verification of stochastic, faulty, hidden-state systems. We solve this problem by performing belief state estimation over the combined state of the Büchi automata representing the safety requirements and the probabilistic hierarchical constraint automata representing the embedded system. This method provides a clean framing of safety monitoring of mixed stochastic systems as an instance of Bayesian filtering.

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Author information

Authors and Affiliations

  1. Massachusetts Institute of Technology, Cambridge, MA, 02141, USA

    Cristina M. Wilcox & Brian C. Williams

Authors
  1. Cristina M. Wilcox
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  2. Brian C. Williams
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Editor information

Editors and Affiliations

  1. School of Computer Science, University of Manchester, Kilburn Building, Oxford Road, M13 9PL, Manchester, UK

    Howard Barringer

  2. INRIA, Rennes - Bretagne Atlantique, France

    Ylies Falcone

  3. Department of Computer Science, Saarland University, 66123, Saarbrücken, Germany

    Bernd Finkbeiner

  4. Jet Propulsion Laboratory, M/S 3041-285, 4800 Oak Grove Drive, 91109, Pasadena, CA, USA

    Klaus Havelund

  5. PRECISE Center, Department of Computer and Information Science, University of Pennsylvania, 19104, Philadelphia, PA, USA

    Insup Lee  & Oleg Sokolsky  & 

  6. Department of Computer Science, University of Malta, MSD 06, Msida, Malta

    Gordon Pace

  7. Department of Computer Science, University of Illinois at Urbana-Champaign, 201 N. Goodwin, 61801, Urbana, IL, USA

    Grigore Roşu

  8. Microsoft Research,, One Microsoft Way, 98052, Redmond, WA, USA

    Nikolai Tillmann

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© 2010 Springer-Verlag Berlin Heidelberg

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Wilcox, C.M., Williams, B.C. (2010). Runtime Verification of Stochastic, Faulty Systems. In: Barringer, H., et al. Runtime Verification. RV 2010. Lecture Notes in Computer Science, vol 6418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16612-9_34

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  • DOI: https://doi.org/10.1007/978-3-642-16612-9_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16611-2

  • Online ISBN: 978-3-642-16612-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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