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Visualization of binary decision diagram

(2016)

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Abstract
A binary decision diagram allows to represent a boolean function as direct acyclic graph structure and is very useful to explore very large state spaces. This data structure is widely used in NuSMV, a symbolic Model checker based on BDDs. Because of its compressed nature, it is quite difficult to represent a binary decision diagram (BDD) in an intelligible way. A direct representation of this data structure could be too large and complex to be understood. This thesis presents different visualization possibilities of BDDs integrated in PyNuSMV, a Python framework including BDD-based model checking based on NuSMV. The main topic will be to overcome the binary nature of this structure doing a decimal translation of it.