Assume-guarantee verification for probabilistic systems

Kwiatkowska, M., Norman, G. , Parker, D. and Qu, U. (2010) Assume-guarantee verification for probabilistic systems. In: Esparza, J. and Majumdar, R. (eds.) Tools and algorithms for the construction and analysis of systems : 16th international conference, TACAS 2010, held as part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2010, Paphos, Cyprus, March 20-28, 2010 : proceedings. Series: Lecture Notes in Computer Science, 6015. Springer. ISBN 9783642120015

Abstract

We present a compositional verification technique for systems that exhibit both probabilistic and nondeterministic behaviour. We adopt an assume- guarantee approach to verification, where both the assumptions made about system components and the guarantees that they provide are regular safety properties, represented by finite automata. Unlike previous proposals for assume-guarantee reasoning about probabilistic systems, our approach does not require that components interact in a fully synchronous fashion. In addition, the compositional verification method is efficient and fully automated, based on a reduction to the problem of multi-objective probabilistic model checking. We present asymmetric and circular assume-guarantee rules, and show how they can be adapted to form quantitative queries, yielding lower and upper bounds on the actual probabilities that a property is satisfied. Our techniques have been implemented and applied to several large case studies, including instances where conventional probabilistic verification is infeasible.

• Item Type: Book Sections
• Additional Information: 16th International Conference, TACAS 2010, Held as Part of the Joint European Conference on Theory and Practice of Software, ETAPS 2010, Paphos, Cyprus, March 20-29, 2010, Proceedings
• Status: Published
• Glasgow Author(s) Enlighten ID: Norman, Dr Gethin
• Authors: Kwiatkowska, M., Norman, G., Parker, D., and Qu, U.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science
• Publisher: Springer
• ISBN: 9783642120015