A model checking framework for hierarchical systems.
BDD-based symbolic model checking is capable of verifying systems with a large number of states. In this work, we report an extensible framework to facilitate symbolic encoding and checking of hierarchical systems. Firstly, a novel library of symbolic encoding functions for compositional operators (...
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sg-smu-ink.sis_research-59642020-02-27T03:07:49Z A model checking framework for hierarchical systems. NGUYEN, Truong Khanh SUN, Jun LIU, Yang DONG, Jin Song BDD-based symbolic model checking is capable of verifying systems with a large number of states. In this work, we report an extensible framework to facilitate symbolic encoding and checking of hierarchical systems. Firstly, a novel library of symbolic encoding functions for compositional operators (e.g., parallel composition, sequential composition, choice operator, etc.) are developed so that users can apply symbolic model checking techniques to hierarchical systems with little knowledge of symbolic encoding techniques (like BDD or CUDD). Secondly, as the library is language-independent, we build an extensible framework with various symbolic model checking algorithms so that the library can be easily applied to encode and verify different modeling languages. Lastly, the applicability and scalability of our framework are demonstrated by applying the framework in the development of symbolic model checkers for three modeling languages as well as a comparison with the NuSMV model checker. 2011-11-12T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4961 info:doi/10.1109/ASE.2011.6100143 https://ink.library.smu.edu.sg/context/sis_research/article/5964/viewcontent/A_model_checking_framework_for_hierarchical_system.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 Software Engineering |
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BDD-based symbolic model checking is capable of verifying systems with a large number of states. In this work, we report an extensible framework to facilitate symbolic encoding and checking of hierarchical systems. Firstly, a novel library of symbolic encoding functions for compositional operators (e.g., parallel composition, sequential composition, choice operator, etc.) are developed so that users can apply symbolic model checking techniques to hierarchical systems with little knowledge of symbolic encoding techniques (like BDD or CUDD). Secondly, as the library is language-independent, we build an extensible framework with various symbolic model checking algorithms so that the library can be easily applied to encode and verify different modeling languages. Lastly, the applicability and scalability of our framework are demonstrated by applying the framework in the development of symbolic model checkers for three modeling languages as well as a comparison with the NuSMV model checker. |
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NGUYEN, Truong Khanh SUN, Jun LIU, Yang DONG, Jin Song |
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NGUYEN, Truong Khanh SUN, Jun LIU, Yang DONG, Jin Song |
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NGUYEN, Truong Khanh |
title |
A model checking framework for hierarchical systems. |
title_short |
A model checking framework for hierarchical systems. |
title_full |
A model checking framework for hierarchical systems. |
title_fullStr |
A model checking framework for hierarchical systems. |
title_full_unstemmed |
A model checking framework for hierarchical systems. |
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model checking framework for 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/4961 https://ink.library.smu.edu.sg/context/sis_research/article/5964/viewcontent/A_model_checking_framework_for_hierarchical_system.pdf |
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