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Model Checking: One Can Do Much More Than You Think!

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNPSE,volume 7141)

Abstract

Model checking is an automated verification technique that actively is applied to find bugs in hardware and software designs. Companies like IBM and Cadence developed their in-house model checkers, and acted as driving forces behind the design of the IEEE-standardized temporal logic PSL. On the other hand, model checking C-, C#- and .NET-program code is an intensive research topic at, for instance, Microsoft and NASA. In this short paper, we briefly discuss three non-standard applications of model checking. The first example is taken from systems biology and shows the relevance of probabilistic reachability. Then, we show how to determine the optimal scheduling policy for multiple-battery systems so as to optimize the system’s lifetime. Finally, we discuss a stochastic job scheduling problem that —thanks to recent developments— can be solved using model checking.

Keywords

  • Model Check
  • Idle Period
  • Symbolic Model Check
  • Reachability Problem
  • Battery Lifetime

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Katoen, JP. (2012). Model Checking: One Can Do Much More Than You Think!. In: Arbab, F., Sirjani, M. (eds) Fundamentals of Software Engineering. FSEN 2011. Lecture Notes in Computer Science, vol 7141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29320-7_1

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  • DOI: https://doi.org/10.1007/978-3-642-29320-7_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29319-1

  • Online ISBN: 978-3-642-29320-7

  • eBook Packages: Computer ScienceComputer Science (R0)