Groth, Katrina Integrated Risk Information System (IRIS) User Guide (Technical Report) University of Maryland Center for Risk and Reliability, (CRR-2007–SR-014), 2007.

BibTeX

@techreport{IRISUserGuide2007,
title = {Integrated Risk Information System (IRIS) User Guide},
author = {Katrina Groth},
year = {2007},
date = {2007-07-01},
number = {CRR-2007–SR-014},
address = {Center for Risk and Reliability},
institution = {University of Maryland},
abstract = {The Integrated Risk Information System (IRIS) is a comprehensive software platform for performing risk assessment and supporting risk management activities for the civil aviation systems. IRIS provides a vehicle for identification and analysis of cause-effect relations between the elements of any large system and various types of accidents and incidents. The modeling domain includes events associated with human, organization, hardware, software, and physical and regulatory environments of the system. The hybrid methodology employed by IRIS extends the conventional risk analysis techniques by introducing new techniques necessary to capture the diversity and complexity of the potential hazards in modern systems, and provides additional flexibility with respect to data availability and practical constraints. The tool combines the power of Event Sequence Diagrams and Fault Trees ideal for modeling engineered systems risks and hazards, with the flexibility of Bayesian Belief Networks for modeling the human and organizational causes of such risks and hazards.
IRIS in its current form is a prototype software environment developed by the Center for Risk and Reliability of the University of Maryland under funding from Federal Aviation Administration, William J. Hughes Technical Center, Risk Analysis Branch, to demonstrate the power of a model based approach for risk-informed oversight functions. This manual introduces the users to the basic risk analysis and management capabilities of IRIS as well as several additional features that demonstrate how the core modeling and computational power of IRIS can be used to support oversight decisions.},
keywords = {aviation, Bayesian Networks, IRIS, Probabilistic risk assessment (PRA), Quantitative risk assessment (QRA), software, transportation safety},
pubstate = {published},
tppubtype = {techreport}
}


Abstract

The Integrated Risk Information System (IRIS) is a comprehensive software platform for performing risk assessment and supporting risk management activities for the civil aviation systems. IRIS provides a vehicle for identification and analysis of cause-effect relations between the elements of any large system and various types of accidents and incidents. The modeling domain includes events associated with human, organization, hardware, software, and physical and regulatory environments of the system. The hybrid methodology employed by IRIS extends the conventional risk analysis techniques by introducing new techniques necessary to capture the diversity and complexity of the potential hazards in modern systems, and provides additional flexibility with respect to data availability and practical constraints. The tool combines the power of Event Sequence Diagrams and Fault Trees ideal for modeling engineered systems risks and hazards, with the flexibility of Bayesian Belief Networks for modeling the human and organizational causes of such risks and hazards.
IRIS in its current form is a prototype software environment developed by the Center for Risk and Reliability of the University of Maryland under funding from Federal Aviation Administration, William J. Hughes Technical Center, Risk Analysis Branch, to demonstrate the power of a model based approach for risk-informed oversight functions. This manual introduces the users to the basic risk analysis and management capabilities of IRIS as well as several additional features that demonstrate how the core modeling and computational power of IRIS can be used to support oversight decisions.