@inproceedings{3ccd129176c44181a452f6e8945c54e4,
title = "Lessons learned from the nuclear regulatory commission's digital system risk research",
abstract = "For the past several years the Nuclear Regulatory Commission and its contractors have been actively engaged in research to determine the capabilities and limitations of the state-of-the-art of digital systems risk and reliability modeling. This program was developed to assess the capabilities of various modeling methods and to develop regulatory acceptance criteria for the use of digital system risk and reliability modeling in risk-informing digital system reviews. The program investigated both traditional and advanced modeling methods for the evaluation of digital system risk and reliability in the context of including these methods in a current generation probabilistic risk assessment. The methods investigated included traditional event tree/fault tree analysis, Markov modeling and dynamic flowgraph methodology. As part of the investigation into the capabilities of these methods we have also reviewed the availability, capability and practicality of the needed supporting data and analysis methods, including failure mode identification, data generation methods and uncertainty analysis.",
keywords = "Digital system risk, PRA, Risk analysis",
author = "Arndt, {Steven A.} and Alan Kuritzky",
year = "2009",
language = "English",
isbn = "9781615676958",
series = "6th American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2009",
pages = "1187--1196",
booktitle = "6th American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2009",
note = "6th American Nuclear Society International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies 2009 ; Conference date: 05-04-2009 Through 09-04-2009",
}