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2001•Electronic Notes in Theoretical Computer ScienceOpen access

Symbolic State Exploration

Fabio Somenzi

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Abstract

The exploration of the state space of the model is at the heart of model checking. Symbolic algorithms often use Binary Decision Diagrams for the representation of sets of states, and have to pay attention to the size of the BDDs. We review the techniques that have been proposed for this task in the framework of closed sequences of monotonic functions.

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The exploration of the state space of the model is at the heart of model checking. Symbolic algorithms often use Binary Decision Diagrams for the representation of sets of states, and have to pay attention to the size of the BDDs. We review the techniques that have been proposed for this task in the framework of closed sequences of monotonic functions.

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Available abstract

The exploration of the state space of the model is at the heart of model checking. Symbolic algorithms often use Binary Decision Diagrams for the representation of sets of states, and have to pay attention to the size of the BDDs. We review the techniques that have been proposed for this task in the framework of closed sequences of monotonic functions.

Key concepts: Binary decision diagram, Model checking, Symbolic trajectory evaluation, Representation (politics), Computer science, Theoretical computer science, Symbolic data analysis, Monotonic function

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