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DOI: 10.4230/OASIcs.VLUDS.2011.43
Improving Safety-Critical Systems by Visual Analysis

Authors: Yi Yang, Patric Keller, Yarden Livnat, and Peter Liggesmeyer

Published in: OASIcs, Volume 27, Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011

Abstract
The importance analysis provides a means of analyzing the contribution of potential low-level system failures to identify and assess vulnerabilities of safety-critical systems. Common approaches attempt to enhance the system safety by addressing vulnerabilities using an iterative analysis process, while considering relevant constraints, e.g., cost, for optimizing the improvements. Typically, data regarding the analysis process is presented across several views with few interactive associations among them. Consequently, this hampers the identification of meaningful information supporting the decision making process. In this paper, we propose a visualization system that visually supports engineers in identifying proper solutions. The visualization integrates a decision tree with a plot representing the cause-effect relationship between the improvement ideas of vulnerabilities and the resulting risk reduction of system. Associating a component fault tree view with the plot allows to maintain helpful context information. The introduced visualization approach enables system and safety engineers to identify and analyze optimal solutions facilitating the improvement of the overall system safety.
Cite as

Yi Yang, Patric Keller, Yarden Livnat, and Peter Liggesmeyer. Improving Safety-Critical Systems by Visual Analysis. In Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011. Open Access Series in Informatics (OASIcs), Volume 27, pp. 43-58, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)

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@InProceedings{yang_et_al:OASIcs.VLUDS.2011.43,
  author =	{Yang, Yi and Keller, Patric and Livnat, Yarden and Liggesmeyer, Peter},
  title =	{{Improving Safety-Critical Systems by Visual Analysis}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  pages =	{43--58},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{27},
  editor =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011.43},
  URN =		{urn:nbn:de:0030-drops-37406},
  doi =		{10.4230/OASIcs.VLUDS.2011.43},
  annote =	{Keywords: fault tree analysis, importance and sensitivity analysis, information vi- sualization, decision tree, safety analysis}
}
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