Data representation and efficient solution: a decision diagram approach

  • Authors:
  • Gianfranco Ciardo

  • Affiliations:
  • Dept. of Computer Science and Engineering, UC Riverside, CA

  • Venue:
  • SFM'07 Proceedings of the 7th international conference on Formal methods for performance evaluation
  • Year:
  • 2007

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Abstract

Decision diagrams are a family of data structures that can compactly encode many functions on discrete structured domains, that is, domains that are the cross-product of finite sets. We present some important classes of decision diagrams and show how they can be effectively employed to derive "symbolic" algorithms for the analysis of large discrete-state models. In particular, we discuss both explicit and symbolic algorithms for state-space generation, CTL model-checking, and continuous-time Markov chain solution. We conclude with some suggestions for future research directions.