PRTS: An approach for model checking probabilistic real-time hierarchical systems
Model Checking real-life systems is always difficult since such systems usually have quantitative timing factors and work in unreliable environment. The combination of real-time and probability in hierarchical systems presents a unique challenge to system modeling and analysis. In this work, we deve...
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sg-smu-ink.sis_research-60322020-03-12T08:39:26Z PRTS: An approach for model checking probabilistic real-time hierarchical systems SUN, Jun LIU, Yang SONG, Songzheng DONG, Jin Song LI, Xiaohong Model Checking real-life systems is always difficult since such systems usually have quantitative timing factors and work in unreliable environment. The combination of real-time and probability in hierarchical systems presents a unique challenge to system modeling and analysis. In this work, we develop an automated approach for verifying probabilistic, real-time, hierarchical systems. Firstly, a modeling language called PRTS is defined, which combines data structures, real-time and probability. Next, a zone-based method is used to build a finite-state abstraction of PRTS models so that probabilistic model checking could be used to calculate the probability of a system satisfying certain property. We implemented our approach in the PAT model checker and conducted experiments with real-life case studies. 2011-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5029 info:doi/10.1007/978-3-642-24559-6_12 https://ink.library.smu.edu.sg/context/sis_research/article/6032/viewcontent/prts.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Model Check Mutual Exclusion Linear Temporal Logic Process Construct Symbolic Model Check Programming Languages and Compilers Software Engineering |
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Model Check Mutual Exclusion Linear Temporal Logic Process Construct Symbolic Model Check Programming Languages and Compilers Software Engineering SUN, Jun LIU, Yang SONG, Songzheng DONG, Jin Song LI, Xiaohong PRTS: An approach for model checking probabilistic real-time hierarchical systems |
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Model Checking real-life systems is always difficult since such systems usually have quantitative timing factors and work in unreliable environment. The combination of real-time and probability in hierarchical systems presents a unique challenge to system modeling and analysis. In this work, we develop an automated approach for verifying probabilistic, real-time, hierarchical systems. Firstly, a modeling language called PRTS is defined, which combines data structures, real-time and probability. Next, a zone-based method is used to build a finite-state abstraction of PRTS models so that probabilistic model checking could be used to calculate the probability of a system satisfying certain property. We implemented our approach in the PAT model checker and conducted experiments with real-life case studies. |
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text |
author |
SUN, Jun LIU, Yang SONG, Songzheng DONG, Jin Song LI, Xiaohong |
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SUN, Jun LIU, Yang SONG, Songzheng DONG, Jin Song LI, Xiaohong |
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SUN, Jun |
title |
PRTS: An approach for model checking probabilistic real-time hierarchical systems |
title_short |
PRTS: An approach for model checking probabilistic real-time hierarchical systems |
title_full |
PRTS: An approach for model checking probabilistic real-time hierarchical systems |
title_fullStr |
PRTS: An approach for model checking probabilistic real-time hierarchical systems |
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PRTS: An approach for model checking probabilistic real-time hierarchical systems |
title_sort |
prts: an approach for model checking probabilistic real-time hierarchical systems |
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Institutional Knowledge at Singapore Management University |
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2011 |
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https://ink.library.smu.edu.sg/sis_research/5029 https://ink.library.smu.edu.sg/context/sis_research/article/6032/viewcontent/prts.pdf |
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