Abstract
Statistical model-checking is a recent technique used for both verification and performance analysis of hybrid systems. It does not suffer from decidability issues or state-space explosion compared to traditional model-checking. Furthermore, it is applicable to more powerful formalisms such as stochastic hybrid automata. Its principle is simple so how simple is it really to make it work in practice? In this extended abstract, we raise a number of practical issue, some of them disconnected from the underlying theory, and show how they are addressed in Up- paal SMC.
Original language | English |
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Number of pages | 7 |
Publication status | Published - Sept 2013 |
Event | 1st Workshop on Statistical Model Checking, SMC 2013 - INRIA Rennes, Rennes, France Duration: 23 Sept 2013 → 23 Sept 2013 Conference number: 1 |
Workshop
Workshop | 1st Workshop on Statistical Model Checking, SMC 2013 |
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Abbreviated title | SMC |
Country/Territory | France |
City | Rennes |
Period | 23/09/13 → 23/09/13 |
Keywords
- EC Grant Agreement nr.: FP7/318003
- EC Grant Agreement nr.: FP7/2007-2013