CSLTA is a stochastic temporal logic for continuous-time Markov chains (CTMC), that can verify the probability of following paths specified by a Deterministic Timed Automaton (DTA). A DTA expresses both logic and time constraints over a CTMC path, yielding to a very flexible way of describing performance and dependability properties. This paper explores a model checking algorithm for CSLTA based on the translation into a Deterministic and Stochastic Petri Net (DSPN). The algorithm has been implemented in a simple Model Checker prototype, that relies on existing DSPN solvers to do the actual numerical computations.
Model checking CSLTA with Deterministic and Stochastic Petri Nets
AMPARORE, ELVIO GILBERTO;DONATELLI, Susanna
2010-01-01
Abstract
CSLTA is a stochastic temporal logic for continuous-time Markov chains (CTMC), that can verify the probability of following paths specified by a Deterministic Timed Automaton (DTA). A DTA expresses both logic and time constraints over a CTMC path, yielding to a very flexible way of describing performance and dependability properties. This paper explores a model checking algorithm for CSLTA based on the translation into a Deterministic and Stochastic Petri Net (DSPN). The algorithm has been implemented in a simple Model Checker prototype, that relies on existing DSPN solvers to do the actual numerical computations.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
IEEE2010.pdf
Accesso riservato
Tipo di file:
POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione
2 MB
Formato
Adobe PDF
|
2 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.