scholarly journals COSMOS: A Statistical Model Checker for the Hybrid Automata Stochastic Logic

2011 ◽  
Author(s):  
Paolo Ballarini ◽  
Hilal Djafri ◽  
Marie Duflot ◽  
Serge Haddad ◽  
Nihal Pekergin
Keyword(s):  
Statistical Model ◽  
Hybrid Automata ◽  
Model Checker

Analysing an autonomous tramway positioning system with the Uppaal Statistical Model Checker

2021 ◽  
Author(s):  
Davide Basile ◽  
Alessandro Fantechi ◽  
Luigi Rucher ◽  
Gianluca Mandò
Keyword(s):  
Statistical Model ◽  
Positioning System ◽  
Model Checker

scholarly journals STMC: Statistical Model Checker with Stratified and Antithetic Sampling

2020 ◽  
pp. 448-460
Author(s):  
Nima Roohi ◽  
Yu Wang ◽  
Matthew West ◽  
Geir E. Dullerud ◽  
Mahesh Viswanathan
Keyword(s):  
Statistical Model ◽  
Model Checker ◽  
Antithetic Sampling

scholarly journals Erratum to: Simulink to UPPAAL Statistical Model Checker: Analyzing Automotive Industrial Systems

2017 ◽  
pp. E1-E1
Author(s):  
Predrag Filipovikj ◽  
Nesredin Mahmud ◽  
Raluca Marinescu ◽  
Cristina Seceleanu ◽  
Oscar Ljungkrantz ◽  
...  
Keyword(s):  
Statistical Model ◽  
Model Checker ◽  
Industrial Systems

scholarly journals An efficient statistical model checker for nondeterminism and rare events

2020 ◽  
Vol 22 (6) ◽  
pp. 759-780 ◽  
Author(s):  
Carlos E. Budde ◽  
Pedro R. D’Argenio ◽  
Arnd Hartmanns ◽  
Sean Sedwards
Keyword(s):  
Statistical Model ◽  
Rare Events ◽  
Performance Comparison ◽  
Model Checker ◽  
Statistical Model Checking ◽  
State Space Explosion ◽  
Modular Software ◽  
Exchange Format ◽  
Simulation Based ◽  
Extensive Performance

Abstract Statistical model checking avoids the state space explosion problem in verification and naturally supports complex non-Markovian formalisms. Yet as a simulation-based approach, its runtime becomes excessive in the presence of rare events, and it cannot soundly analyse nondeterministic models. In this article, we present : a statistical model checker that combines fully automated importance splitting to estimate the probabilities of rare events with smart lightweight scheduler sampling to approximate optimal schedulers in nondeterministic models. As part of the Modest Toolset, it supports a variety of input formalisms natively and via the Jani exchange format. A modular software architecture allows its various features to be flexibly combined. We highlight its capabilities using experiments across multi-core and distributed setups on three case studies and report on an extensive performance comparison with three current statistical model checkers.

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