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NuMDG: A New Tool for Multiway Decision Graphs Construction


NuMDG: A New Tool for Multiway Decision Graphs Construction

Abed, Sa’ed, Mokhtari, Yassine, Ait-Mohamed, Otmane and Tahar, Sofiène (2011) NuMDG: A New Tool for Multiway Decision Graphs Construction. Journal of Computer Science and Technology, 26 (1). pp. 139-152. ISSN 1000-9000

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Official URL: http://dx.doi.org/10.1007/s11390-011-9421-x


Multiway Decision Graphs (MDGs) are a canonical representation of a subset of many-sorted first-order logic. This subset generalizes the logic of equality with abstract types and uninterpreted function symbols. The distinction between abstract and concrete sorts mirrors the hardware distinction between data path and control. Here we consider ways to improve MDGs construction. Efficiency is achieved through the use of the Generalized-If-Then-Else (GITE) commonly operator in Binary Decision Diagram packages. Consequently, we review the main algorithms used for MDGs verification techniques. In particular, Relational Product and Pruning by Subsumption are algorithms defined uniformly through this single GITE operator which will lead to a more efficient implementation. Moreover, we provide their correctness proof. This work can be viewed as a way to accommodate the ROBBD algorithms to the realm of abstract sorts and uninterpreted functions. The new tool, called NuMDG, accepts an extended SMV language, supporting abstract data sorts. Finally, we present experimental results demonstrating the efficiency of the NuMDG tool and evaluating its performance using a set of benchmarks from the SMV package.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering
Item Type:Article
Authors:Abed, Sa’ed and Mokhtari, Yassine and Ait-Mohamed, Otmane and Tahar, Sofiène
Journal or Publication:Journal of Computer Science and Technology
Digital Object Identifier (DOI):10.1007/s11390-011-9421-x
Keywords:infinite state model checking multiway decision graphs uninterpreted functions
ID Code:977361
Deposited By: Danielle Dennie
Deposited On:14 Jun 2013 13:35
Last Modified:18 Jan 2018 17:44


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