Abstract : Statistical Model Checking (SMC) is a compromise between verification and testing where executions of the systems are monitored until an algorithm from statistics can produce an estimate for the system to satisfy a given property. The objective of this introduction is to summarizes SMC as well as a series of challenges for which contributors at Isola propose a solution. Contributions include new SMC toolsets, new flexible SMC algorithms for larger classes of systems, and new applications.
Type de document :
Communication dans un congrès
6th International Symposium, ISoLA 2014, Oct 2014, Corfu, Greece
https://hal.inria.fr/hal-01406518
Contributeur : Nisrine Jafri
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Soumis le : jeudi 1 décembre 2016 - 11:50:42
Dernière modification le : mercredi 16 mai 2018 - 11:24:11
Document(s) archivé(s) le : mardi 21 mars 2017 - 03:23:03
Kim Guldstrand Larsen, Axel Legay. Statistical Model Checking: Past, Present, and Future. 6th International Symposium, ISoLA 2014, Oct 2014, Corfu, Greece. 〈hal-01406518〉
