Title :
Integrating software into PRA
Author :
Li, Bin ; Li, Ming ; Ghose, Susmita ; Smidts, Carol
Author_Institution :
Center for Reliability Eng., Maryland Univ., College Park, MD, USA
Abstract :
Probabilistic Risk Assessment is a technique to assess the probability of failure or success of a mission. Results provided by the risk assessment methodology are used to make decisions concerning choice of upgrades, scheduling of maintenance, decision to launch, etc. However, current PRA neglects the contribution of software to the risk of failure of the mission. This paper presents a framework for "Integrating Software into PRA", a methodology for systematic integration of the software contribution to risk in system failure analysis. In particular, we established a software-related failure mode taxonomy and a three-level PRA sub-model to account for the impact of software to the classical PRA structure. Application and validation of the taxonomy are discussed in this paper. Future research is also summarized.
Keywords :
integrated software; probability; program diagnostics; risk management; software maintenance; decision making; failure probability assessment; probabilistic risk assessment; software maintenance; software upgrade; software-related failure mode taxonomy; success probability assessment; system failure analysis; Accidents; Failure analysis; Logic; Performance analysis; Radiation safety; Reliability engineering; Risk management; Software safety; Space technology; Taxonomy;
Conference_Titel :
Software Reliability Engineering, 2003. ISSRE 2003. 14th International Symposium on
Print_ISBN :
0-7695-2007-3
DOI :
10.1109/ISSRE.2003.1251066