Regular Model Checking Using Inference of Regular Languages - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Electronic Notes in Theoretical Computer Science Année : 2005

Regular Model Checking Using Inference of Regular Languages

Résumé

Regular model checking is a method for verifying infinite-state systems based on coding their configurations as words over a finite alphabet, sets of configurations as finite automata, and transitions as finite transducers. We introduce a new general approach to regular model checking based on inference of regular languages. The method builds upon the observation that for infinite-state systems whose behaviour can be modelled using length-preserving transducers, there is a finite computation for obtaining all reachable configurations up to a certain length n. These configurations are a (positive) sample of the reachable configurations of the given system, whereas all other words up to length n are a negative sample. Then, methods of inference of regular languages can be used to generalize the sample to the full reachability set (or an overapproximation of it). We have implemented our method in a prototype tool which shows that our approach is competitive on a number of concrete examples. Furthermore, in contrast to all other existing regular model checking methods, termination is guaranteed in general for all systems with regular sets of reachable configurations. The method can be applied in a similar way to dealing with reachability relations instead of reachability sets too.
Fichier principal
Vignette du fichier
HV-infinity04.pdf (182.17 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00156830 , version 1 (22-06-2007)

Identifiants

Citer

Peter Habermehl, Tomas Vojnar. Regular Model Checking Using Inference of Regular Languages. Electronic Notes in Theoretical Computer Science, 2005, 138 (3), pp.21-36. ⟨10.1016/j.entcs.2005.01.044⟩. ⟨hal-00156830⟩
379 Consultations
171 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More