Compositional Abstraction for Stochastic Systems

  • Authors:
  • Joost-Pieter Katoen;Daniel Klink;Martin R. Neuhäußer

  • Affiliations:
  • RWTH Aachen University, Germany and University of Twente, The Netherlands;RWTH Aachen University, Germany;RWTH Aachen University, Germany and University of Twente, The Netherlands

  • Venue:
  • FORMATS '09 Proceedings of the 7th International Conference on Formal Modeling and Analysis of Timed Systems
  • Year:
  • 2009

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Abstract

We propose to exploit three-valued abstraction to stochastic systems in a compositional way. This combines the strengths of an aggressive state-based abstraction technique with compositional modeling. Applying this principle to interactive Markov chains yields abstract models that combine interval Markov chains and modal transition systems in a natural and orthogonal way. We prove the correctness of our technique for parallel and symmetric composition and show that it yields lower bounds for minimal and upper bounds for maximal timed reachability probabilities.