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Towards more Dependable Verification of Mixed-Signal Systems

Authors: Florian Schupfer and Christoph Grimm

Published in: Dagstuhl Seminar Proceedings, Volume 10271, Verification over discrete-continuous boundaries (2010)

Abstract

The verification of complex mixed-signal systems is a challenge, especially considering the impact of parameter variations. Besides the established approaches like Monte-Carlo or Corner-Case simulation, a novel semi-symbolic approach emerged in recent years. In this approach, parameter variations and tolerances are maintained as symbolic ranges during numerical simulation runs by using affine arithmetic. Maintaining parameter variations and tolerances in a symbolic way significantly increases verification coverage. In the following we give a brief introduction and an overview of research on semi-symbolic simulation of both circuits and systems and discuss possible application for system level verification and optimization.

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Florian Schupfer and Christoph Grimm. Towards more Dependable Verification of Mixed-Signal Systems. In Verification over discrete-continuous boundaries. Dagstuhl Seminar Proceedings, Volume 10271, pp. 1-13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{schupfer_et_al:DagSemProc.10271.4,
  author =	{Schupfer, Florian and Grimm, Christoph},
  title =	{{Towards more Dependable Verification of Mixed-Signal Systems}},
  booktitle =	{Verification over discrete-continuous boundaries},
  pages =	{1--13},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10271},
  editor =	{Bernd Becker and Luca Cardelli and Holger Hermanns and Sofiene Tahar},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10271.4},
  URN =		{urn:nbn:de:0030-drops-27911},
  doi =		{10.4230/DagSemProc.10271.4},
  annote =	{Keywords: Affine Arithmetic, Range based methods, Verification, Semi-symbolic simulation}
}

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Towards more Dependable Verification of Mixed-Signal Systems

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