SBIP 2.0: Statistical Model Checking Stochastic Real-time Systems
Résumé
This paper presents a major new release of SBIP, an extensi-ble statistical model checker for Metric (MTL) and Linear-time Temporal Logic (LTL) properties on respectively Generalized Semi-Markov Processes (GSMP), Continuous-Time (CTMC) and Discrete-Time Markov Chain (DTMC) models. The newly added support for MTL, GSMPs, CTMCs and rare events allows to capture both real-time and stochastic aspects, allowing faithful specification, modeling and analysis of real-life systems. SBIP is redesigned as an IDE providing project management, model edition, compilation, simulation, and statistical analysis.
Domaines
Systèmes embarquésOrigine | Fichiers produits par l'(les) auteur(s) |
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