TY - CHAP
T1 - PVeStA: A Parallel Statistical Model Checking and Quantitative Analysis Tool
AU - AlTurki, Musab
AU - Meseguer, José
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We thank Koushik Sen, Mahesh Viswanathan, and GulAgha for the original work onVeStA, and Gul Agha and Koushik Sen for theirwork on PMaude andQuaTEx, which provide the basis on whichPVeStAhas been built. This work has been partially supported by NSF grants CNS 08-34709, CNS 07-16638, and CCF 09-05584, King Fahd University of Petroleumand Minerals, and King Abdullah University of Science and Technology.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2011
Y1 - 2011
N2 - Statistical model checking is an attractive formal analysis method for probabilistic systems such as, for example, cyber-physical systems which are often probabilistic in nature. This paper is about drastically increasing the scalability of statistical model checking, and making such scalability of analysis available to tools like Maude, where probabilistic systems can be specified at a high level as probabilistic rewrite theories. It presents PVeStA, an extension and parallelization of the VeStA statistical model checking tool [10]. PVeStA supports statistical model checking of probabilistic real-time systems specified as either: (i) discrete or continuous Markov Chains; or (ii) probabilistic rewrite theories in Maude. Furthermore, the properties that it can model check can be expressed in either: (i) PCTL/CSL, or (ii) the QuaTEx quantitative temporal logic. As our experiments show, the performance gains obtained from parallelization can be very high. © 2011 Springer-Verlag.
AB - Statistical model checking is an attractive formal analysis method for probabilistic systems such as, for example, cyber-physical systems which are often probabilistic in nature. This paper is about drastically increasing the scalability of statistical model checking, and making such scalability of analysis available to tools like Maude, where probabilistic systems can be specified at a high level as probabilistic rewrite theories. It presents PVeStA, an extension and parallelization of the VeStA statistical model checking tool [10]. PVeStA supports statistical model checking of probabilistic real-time systems specified as either: (i) discrete or continuous Markov Chains; or (ii) probabilistic rewrite theories in Maude. Furthermore, the properties that it can model check can be expressed in either: (i) PCTL/CSL, or (ii) the QuaTEx quantitative temporal logic. As our experiments show, the performance gains obtained from parallelization can be very high. © 2011 Springer-Verlag.
UR - http://hdl.handle.net/10754/599416
UR - http://link.springer.com/10.1007/978-3-642-22944-2_28
UR - http://www.scopus.com/inward/record.url?scp=80053033779&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-22944-2_28
DO - 10.1007/978-3-642-22944-2_28
M3 - Chapter
SN - 9783642229435
SP - 386
EP - 392
BT - Algebra and Coalgebra in Computer Science
PB - Springer Nature
ER -