Local abstraction refinement for probabilistic timed programs

Research output: Contribution to journalArticle

Authors

Colleges, School and Institutes

Abstract

We consider models of programs that incorporate probability, dense real-time and data. We present a new abstraction refinement method for computing minimum and maximum reachability probabilities for such models. Our approach uses strictly local refinement steps to reduce both the size of abstractions generated and the complexity of operations needed, in comparison to previous approaches of this kind. We implement the techniques and evaluate them on a selection of large case studies, including some infinite-state probabilistic real-time models, demonstrating improvements over existing tools in several cases.

Details

Original languageEnglish
Pages (from-to)37-53
JournalTheoretical Computer Science
Volume538
Early online date1 Aug 2013
Publication statusPublished - 12 Jun 2014

Keywords

  • Probabilistic verification, Abstraction refinement