A Statistical Model Checker for Nondeterminism and Rare Events
| Title | A Statistical Model Checker for Nondeterminism and Rare Events |
| Publication Type | Book Chapter |
| Year of Publication | 2018 |
| Authors | Budde, CE, D'Argenio, PR, Hartmanns, A, Sedwards, S |
| Editor | Beyer, D, Huisman, M |
| Book Title | Tools and Algorithms for the Construction and Analysis of Systems - 24th International Conference, TACAS 2018, Held as Part of ETAPS 2018, Thessaloniki, Greece, April 14-20, 2018, Proceedings, Part II |
| Series Title | Lecture Notes in Computer Science |
| Volume | 10806 |
| Pagination | 340–358 |
| Publisher | Springer |
| 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 tool paper, we present modes: a statistical model checker that combines fully automated importance splitting to efficiently 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 with an experimental evaluation across multi-core and distributed setups on three exemplary case studies. |
| URL | https://doi.org/10.1007/978-3-319-89963-3_20 |
| DOI | 10.1007/978-3-319-89963-3_20 |
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