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DBLP
Article . 2011
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Model checking embedded software of an industrial knitting machine

Authors: Thomas Reinbacher; Martin Horauer; Bastian Schlich; Jörg Brauer; Florian Scheuer;

Model checking embedded software of an industrial knitting machine

Abstract

Model checking is a promising approach for the verification of embedded systems software. The [mc]square approach for verification of binary code provides several improvements compared to other existing methods: the system model is automatically derived from the binary code using dedicated microcontroller simulators and state spaces are reduced by applying automatic abstraction techniques. In this paper, we survey the involved mechanisms and assess the overall approach by conducting an industrial case study – the verification of the embedded software of a monitoring device of a knitting machine.

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    5
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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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!
5
Average
Top 10%
Top 10%
gold