Well-formed nets and their stochastic timed extension, take advantage of symmetries to allow efficient solution techniques for both qualitative and quantitative properties. During the last decade, these techniques have been enriched with increasingly more powerful ones: this has been achieved by exploiting partial symmetries and decomposition. In this paper, we present a suite of new software tools based on the original SWN solver of the GreatSPN tool, which implements these new features.
Extended SWN Solvers in GreatSPN
BECCUTI, Marco;DONATELLI, Susanna;GAETA, Rossano;
2004-01-01
Abstract
Well-formed nets and their stochastic timed extension, take advantage of symmetries to allow efficient solution techniques for both qualitative and quantitative properties. During the last decade, these techniques have been enriched with increasingly more powerful ones: this has been achieved by exploiting partial symmetries and decomposition. In this paper, we present a suite of new software tools based on the original SWN solver of the GreatSPN tool, which implements these new features.File in questo prodotto:
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