Publication details
Randomization Helps in LTL Model Checking
| Basic information | |
|---|---|
| Original title: | Randomization Helps in LTL Model Checking |
| Authors: | Luboš Brim, Ivana Černá, Martin Nečesal |
| Further information | |
|---|---|
| Citation: | BRIM, Luboš  - ČERNÁ, Ivana - NEČESAL, Martin. Randomization Helps in LTL Model Checking. In Process Algebra and Probabilistic Methods. Proceedings of PAPM-PROBMIV 2001. Berlin Heidelberg New York : Springer, 2001. ISBN 3-540-42556-X, pp. 105-119. Aachen, Germany, September 12-14, 2001. |
| Original language: | English |
| Field: | Information theory |
| Type: | Article in Proceedings |
| Keywords: | Model checking; randomized algorithm; depth-first search |
We present and analyze a new probabilistic method for automata based LTL model checking of non-proba\-bi\-listic systems with intention to reduce memory requirements. The main idea of our approach is to use randomness to decide which of the needed information (visited states) should be stored during a computation and which could be omitted. We propose two strategies of probabilistic storing of states. The algorithm never errs, i.e. it always delivers correct results. On the other hand the computation time can increase. The method has been embedded into the SPIN model checker and a series of experiments has been performed. The results confirm that randomization can help to increase the applicability of model checkers in practice.
Related projects:
- Infinite state concurrent systems - models and verification
- Algorithms and tools for practical verification of concurrent systems.
- Non-sequential Models of Computing -- Quantum and Concurrent Distributed Models of Computing
