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

fYear

2003

fDate

17-20 Nov. 2003

Firstpage

457

Lastpage

467

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Reliability Engineering, 2003. ISSRE 2003. 14th International Symposium on

ISSN

1071-9458

Print_ISBN

0-7695-2007-3

Type

conf

DOI

10.1109/ISSRE.2003.1251066

Filename

1251066