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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/3-540-...
Part of book or chapter of book . 2003 . Peer-reviewed
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Article . 2003
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Interfacing ASM with the MDG Tool

Authors: Gawanmeh, Amjad; Tahar, Sofiène; Winter, Kirsten;

Interfacing ASM with the MDG Tool

Abstract

In this paper we describe an approach to interface Abstract State Machines (ASM) with Multiway Decision Graphs (MDG) to enable tool support for the formal verification of ASM descriptions. ASM is a specification method for software and hardware providing a powerful means of modeling various kinds of systems. MDGs are decision diagrams based on abstract representation of data and are used primarily for modeling hardware systems. The notions of ASM and MDG are hence closely related to each other, making it appealing to link these two concepts. The proposed interface between ASM and MDG uses two steps: first, the ASM model is transformed into a flat, simple transition system as an intermediate model. Second, this intermediate model is transformed into the syntax of the input language of the MDG tool, MDG-HDL. We have successfully applied this transformation scheme on a case study, the Island Tunnel Controller, where we automatically generated the corresponding MDG-HDL models from ASM specifications.

Country
Australia
Keywords

E1, 780000 - Non-Oriented Research, 1700 Computer Science, Computer Science, Theory & Methods, Multiway Decision Graphs, 08 Information and Computing Sciences, 280000 Information, Computing and Communication Sciences, Formal Verification, 004, Model Checking

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Average
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