Model checking
Probabilistic Symbolic Model Checking with PRISM: A Hybrid Approach
TACAS '02 Proceedings of the 8th International Conference on Tools and Algorithms for the Construction and Analysis of Systems
Verifying Continuous Time Markov Chains
CAV '96 Proceedings of the 8th International Conference on Computer Aided Verification
Model Checking Performability Properties
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
Model-Checking Algorithms for Continuous-Time Markov Chains
IEEE Transactions on Software Engineering
Model Checking Markov Chains with Actions and State Labels
IEEE Transactions on Software Engineering
Integrated Simulation and Model-Checking for the Analysis of Biochemical Systems
Electronic Notes in Theoretical Computer Science (ENTCS)
SFM'07 Proceedings of the 7th international conference on Formal methods for performance evaluation
Petri nets for systems and synthetic biology
SFM'08 Proceedings of the Formal methods for the design of computer, communication, and software systems 8th international conference on Formal methods for computational systems biology
PRISM: a tool for automatic verification of probabilistic systems
TACAS'06 Proceedings of the 12th international conference on Tools and Algorithms for the Construction and Analysis of Systems
Expressive statistical model checking of genetic networks with delayed stochastic dynamics
CMSB'12 Proceedings of the 10th international conference on Computational Methods in Systems Biology
An analysis for proving probabilistic termination of biological systems
Theoretical Computer Science
Trend-Based analysis of a population model of the AKAP scaffold protein
Transactions on Computational Systems Biology XIV
Characterizing oscillatory and noisy periodic behavior in markov population models
QEST'13 Proceedings of the 10th international conference on Quantitative Evaluation of Systems
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We investigate the application of query-based verification to the analysis of behavioural trends of stochastic models of biochemical systems. We derive temporal logic properties which address specific behavioural questions, such as the likelihood for a species to reach a peak/deadlock state, or to exhibit monotonic/oscillatory trends. We introduce a specific modelling convention through which stochastic models of biochemical systems are made suitable to verification of the behavioural queries we define. Based on the queries we identify, we define a classification procedure which, given a stochastic model, allows for identifying meaningful qualitative behavioural trends. We illustrate the proposed query-based classification on a number of simple abstract models of biochemical systems.