Statistical probabilistic model checking with a focus on time-bounded properties
Information and Computation
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
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Electronic Notes in Theoretical Computer Science (ENTCS)
Bayesian statistical model checking with application to Simulink/Stateflow verification
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RV'10 Proceedings of the First international conference on Runtime verification
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International Journal of Critical Computer-Based Systems
Stochastic differential dynamic logic for stochastic hybrid programs
CADE'11 Proceedings of the 23rd international conference on Automated deduction
Time for statistical model checking of real-time systems
CAV'11 Proceedings of the 23rd international conference on Computer aided verification
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ATVA'11 Proceedings of the 9th international conference on Automated technology for verification and analysis
Probabilistic verification for “black-box” systems
CAV'05 Proceedings of the 17th international conference on Computer Aided Verification
Ymer: a statistical model checker
CAV'05 Proceedings of the 17th international conference on Computer Aided Verification
Correctness issues of symbolic bisimulation computation for markov chains
MMB&DFT'10 Proceedings of the 15th international GI/ITG conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance
Statistical abstraction and model-checking of large heterogeneous systems
FMOODS'10/FORTE'10 Proceedings of the 12th IFIP WG 6.1 international conference and 30th IFIP WG 6.1 international conference on Formal Techniques for Distributed Systems
Simulation and analysis of distributed systems in klaim
COORDINATION'10 Proceedings of the 12th international conference on Coordination Models and Languages
Rare-event verification for stochastic hybrid systems
Proceedings of the 15th ACM international conference on Hybrid Systems: Computation and Control
ACM Transactions on Software Engineering and Methodology (TOSEM)
Steady-state property verification: a comparison study
VECoS'10 Proceedings of the Fourth international conference on Verification and Evaluation of Computer and Communication Systems
Checking and distributing statistical model checking
NFM'12 Proceedings of the 4th international conference on NASA Formal Methods
Rare event simulation for highly dependable systems with fast repairs
Performance Evaluation
xTune: A formal methodology for cross-layer tuning of mobile embedded systems
ACM Transactions on Embedded Computing Systems (TECS)
Synthesis of insulin pump controllers from safety specifications using Bayesian model validation
International Journal of Bioinformatics Research and Applications
SBMF'12 Proceedings of the 15th Brazilian conference on Formal Methods: foundations and applications
Statistical model checking for safety critical hybrid systems: an empirical evaluation
HVC'12 Proceedings of the 8th international conference on Hardware and Software: verification and testing
Modeling and Evaluation of Wireless Sensor Network Protocols by Stochastic Timed Automata
Electronic Notes in Theoretical Computer Science (ENTCS)
Bayesian statistical model checking with application to Stateflow/Simulink verification
Formal Methods in System Design
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Numerical analysis based on uniformisation and statistical techniques based on sampling and simulation are two distinct approaches for transient analysis of stochastic systems. We compare the two solution techniques when applied to the verification of time-bounded until formulae in the temporal stochastic logic CSL, both theoretically and through empirical evaluation on a set of case studies. Our study differs from most previous comparisons of numerical and statistical approaches in that CSL model checking is a hypothesis-testing problem rather than a parameter-estimation problem. We can therefore rely on highly efficient sequential acceptance sampling tests, which enables statistical solution techniques to quickly return a result with some uncertainty. We also propose a novel combination of the two solution techniques for verifying CSL queries with nested probabilistic operators.