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dc.contributor.advisor Trivedi, Kishor S en_US
dc.contributor.author Mishra, K
dc.contributor.author Trivedi, KS
dc.date.accessioned 2012-01-10T15:58:17Z
dc.date.issued 2011-12-01
dc.identifier.citation Proceedings - International Symposium on Software Reliability Engineering, ISSRE, 2011, pp. 80 - 89
dc.identifier.issn 1071-9458
dc.identifier.uri http://hdl.handle.net/10161/4979
dc.description Dissertation en_US
dc.description.abstract Stochastic models are often employed to study dependability of critical systems and assess various hardware and software fault-tolerance techniques. These models take into account the randomness in the events of interest (aleatory uncertainty) and are generally solved at fixed parameter values. However, the parameter values themselves are determined from a finite number of observations and hence have uncertainty associated with them (epistemic uncertainty). This paper discusses methods for computing the uncertainty in output metrics of dependability models, due to epistemic uncertainties in the model input parameters. Methods for epistemic uncertainty propagation through dependability models of varying complexity are presented with illustrative examples. The distribution, variance and expectation of model output, due to epistemic uncertainty in model input parameters are derived and analyzed to understand their limiting behavior. © 2011 IEEE.
dc.format.extent 80 - 89
dc.relation.ispartof Proceedings - International Symposium on Software Reliability Engineering, ISSRE
dc.relation.isversionof 10.1109/ISSRE.2011.14
dc.title Uncertainty propagation through software dependability models
dc.type Journal Article
dc.department Electrical and Computer Engineering en_US
pubs.organisational-group /Duke
pubs.organisational-group /Duke/Pratt School of Engineering
pubs.organisational-group /Duke/Pratt School of Engineering/Electrical and Computer Engineering
pubs.organisational-group /Duke/Trinity College of Arts & Sciences
pubs.organisational-group /Duke/Trinity College of Arts & Sciences/Computer Science
pubs.publication-status Published

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