Abstract probabilistic automata

  • Authors:
  • Benoît Delahaye;Joost-Pieter Katoen;Kim G. Larsen;Axel Legay;Mikkel L. Pedersen;Falak Sher;Andrzej Wasowski

  • Affiliations:
  • INRIA, IRISA, Rennes, France;RWTH Aachen University, Software Modeling and Verification Group, Germany;Aalborg University, Denmark;INRIA, IRISA, Rennes, France;Aalborg University, Denmark;RWTH Aachen University, Software Modeling and Verification Group, Germany;IT University of Copenhagen, Denmark

  • Venue:
  • VMCAI'11 Proceedings of the 12th international conference on Verification, model checking, and abstract interpretation
  • Year:
  • 2011

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Abstract

Probabilistic Automata (PAs) are a widely-recognized mathematical framework for the specification and analysis of systems with non-deterministic and stochastic behaviors. This paper proposes Abstract Probabilistic Automata (APAs), that is a novel abstraction model for PAs. In APAs uncertainty of the non-deterministic choices is modeled by may/must modalities on transitions while uncertainty of the stochastic behaviour is expressed by (underspecified) stochastic constraints. We have developed a complete abstraction theory for PAs, and also propose the first specification theory for them. Our theory supports both satisfaction and refinement operators, together with classical stepwise design operators. In addition, we study the link between specification theories and abstraction in avoiding the state-space explosion problem.