A randomized protocol for signing contracts
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Probabilistic self-stabilization
Information Processing Letters
Real-time dynamic voltage scaling for low-power embedded operating systems
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Probabilistic Model Checking of the IEEE 802.11 Wireless Local Area Network Protocol
PAPM-PROBMIV '02 Proceedings of the Second Joint International Workshop on Process Algebra and Probabilistic Methods, Performance Modeling and Verification
Verifying Randomized Byzantine Agreement
FORTE '02 Proceedings of the 22nd IFIP WG 6.1 International Conference Houston on Formal Techniques for Networked and Distributed Systems
Model-Checking Algorithms for Continuous-Time Markov Chains
IEEE Transactions on Software Engineering
PRISM 2.0: A Tool for Probabilistic Model Checking
QEST '04 Proceedings of the The Quantitative Evaluation of Systems, First International Conference
HLDVT '02 Proceedings of the Seventh IEEE International High-Level Design Validation and Test Workshop
Cell Cycle Control in Eukaryotes: A BioSpi model
Electronic Notes in Theoretical Computer Science (ENTCS)
Probabilistic analysis of an anonymity system
Journal of Computer Security - Special issue on CSFW15
Simplifying Itai-Rodeh Leader Election for Anonymous Rings
Electronic Notes in Theoretical Computer Science (ENTCS)
Probabilistic Model Checking of the CSMA/CD Protocol Using PRISM and APMC
Electronic Notes in Theoretical Computer Science (ENTCS)
A system architecture solution for unreliable nanoelectronic devices
IEEE Transactions on Nanotechnology
Evaluating the reliability of NAND multiplexing with PRISM
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Model checking meets performance evaluation
ACM SIGMETRICS Performance Evaluation Review
Modelling, property verification and behavioural equivalence of lactose operon regulation
Computers in Biology and Medicine
Quantitative verification: models techniques and tools
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Quantitative verification: models, techniques and tools
The 6th Joint Meeting on European software engineering conference and the ACM SIGSOFT symposium on the foundations of software engineering: companion papers
Probabilistic model checking of complex biological pathways
Theoretical Computer Science
Using probabilistic model checking in systems biology
ACM SIGMETRICS Performance Evaluation Review
Structure and parameter estimation for cell systems biology models
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Temporalization of Probabilistic Propositional Logic
LFCS '09 Proceedings of the 2009 International Symposium on Logical Foundations of Computer Science
Deterministic and stochastic P systems for modelling cellular processes
Natural Computing: an international journal
Probabilistic model checking of complex biological pathways
CMSB'06 Proceedings of the 2006 international conference on Computational Methods in Systems Biology
Symmetry reduction for probabilistic model checking
CAV'06 Proceedings of the 18th international conference on Computer Aided Verification
ATVA'06 Proceedings of the 4th international conference on Automated Technology for Verification and Analysis
Software engineering techniques for the development of systems of systems
Monterey'08 Proceedings of the 15th Monterey conference on Foundations of Computer Software: future Trends and Techniques for Development
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In this paper, we describe some practical applications of probabilistic model checking, a technique for the formal analysis of systems which exhibit stochastic behaviour. We give an overview of a selection of case studies carried out using the probabilistic model checking tool PRISM, demonstrating the wide range of application domains to which these methods are applicable. We also illustrate several benefits of using formal verification techniques to analyse probabilistic systems, including: (i) that they allow a wide range of numerical properties to be computed accurately; and (ii) that they perform a complete and exhaustive analysis enabling, for example, a study of best- and worst-case scenarios.