Abstract
Deterministic and Stochastic Petri Nets (DSPNs) are a widely used high-level formalism for modeling discrete-event systems where events may occur either without consuming time, after a deterministic time, or after an exponentially distributed time. The underlying process dened by DSPNs, under certain restrictions, corresponds to a class of Markov Regenerative Stochastic Processes (MRGP). In this paper, we investigate the use of CSL (Continuous Stochastic Logic) to express probabilistic properties, such a time-bounded until and time-bounded next, at the DSPN level. The verification of such properties requires the solution of the steady-state and transient probabilities of the underlying MRGP. We also address a number of semantic issues regarding the application of CSL on MRGP and provide numerical model checking algorithms for this logic. A prototype model checker, based on SPNica, is also described.
Original language | English |
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Publisher | VDE Verlag GMBH |
Number of pages | 18 |
Place of Publication | Berlin |
ISBN (Print) | 978-3-8007-2945-6 |
Publication status | Published - 2006 |
Externally published | Yes |
Keywords
- EWI-8992
- METIS-237894
- IR-66852