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On Statistical Model Checking of Stochastic Systems
Sen, Koushik; Viswanathan, Mahesh; Agha, Gul A.
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https://hdl.handle.net/2142/10931
Description
- Title
- On Statistical Model Checking of Stochastic Systems
- Author(s)
- Sen, Koushik
- Viswanathan, Mahesh
- Agha, Gul A.
- Issue Date
- 2004-12
- Keyword(s)
- Formal methods
- Date of Ingest
- 2009-04-17T15:23:31Z
- Abstract
- Statistical methods to model check stochastic systems have been, thus far, developed only for a sublogic of continuous stochastic logic (CSL) that does not have steady state operators and unbounded until formulas. In this paper, we present a statistical model checking algorithm that also verifies CSL formulas with unbounded untils. The algorithm is based on Monte Carlo simulation of the model and hypothesis testing of the samples, as opposed to sequential hypothesis testing. The use of statistical hypothesis testing allows us to exploit the inherent parallelism in this approach. We have implemented the algorithm in a tool called VESTA, and found it to be effective in verifying several examples.
- Type of Resource
- text
- Genre of Resource
- Technical Report
- Permalink
- http://hdl.handle.net/2142/10931
- Copyright and License Information
- You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
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