License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.FSTTCS.2016.3
URN: urn:nbn:de:0030-drops-68881
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/6888/
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Hermanns, Holger

My O Is Bigger Than Yours (Invited Talk)

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LIPIcs-FSTTCS-2016-3.pdf (0.3 MB)

Abstract

This invited talk starts off with a review of probabilistic safety assessment (PSA) methods currently exercised across the nuclear power plant domain worldwide. It then elaborates on crucial aspects of the Fukushima Dai-ichi accident which are not considered properly in contemporary PSA studies. New kinds of PSA are needed so as to take into account external hazards, dynamic aspects of accident progression, and partial information. All of these come with obvious increases in algorithmic analysis complexity. This motivates our ongoing work to gradually tackle the resulting modelling and analysis problems. They revolve around static and dynamic fault trees, open interpretations of compositional Markov models and advances in their effective numerical analysis.

BibTeX - Entry

@InProceedings{hermanns:LIPIcs:2016:6888,
  author =	{Holger Hermanns},
  title =	{{My O Is Bigger Than Yours (Invited Talk)}},
  booktitle =	{36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2016)},
  pages =	{3:1--3:2},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-027-9},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{65},
  editor =	{Akash Lal and S. Akshay and Saket Saurabh and Sandeep Sen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6888},
  URN =		{urn:nbn:de:0030-drops-68881},
  doi =		{10.4230/LIPIcs.FSTTCS.2016.3},
  annote =	{Keywords: Probabilistic Safety Analysis, Fault Trees, Compositionality, Markov Models, Model Checking}
}

Keywords: Probabilistic Safety Analysis, Fault Trees, Compositionality, Markov Models, Model Checking
Collection: 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2016)
Issue Date: 2016
Date of publication: 10.12.2016

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