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QOSA
2007
Springer
13 years 11 months ago
A Bayesian Model for Predicting Reliability of Software Systems at the Architectural Level
: Modern society relies heavily on complex software systems for everyday activities. Dependability of these systems thus has become a critical feature that determines which product...
Roshanak Roshandel, Nenad Medvidovic, Leana Golubc...
IEEEARES
2006
IEEE
13 years 11 months ago
Bayesian Networks Implementation of the Dempster Shafer Theory to Model Reliability Uncertainty
In many reliability studies based on data, reliability engineers face incompleteness and incoherency problems in the data. Probabilistic tools badly handle these kinds of problems...
Christophe Simon, Philippe Weber
INFOCOM
2008
IEEE
13 years 11 months ago
Minerva: Learning to Infer Network Path Properties
—Knowledge of the network path properties such as latency, hop count, loss and bandwidth is key to the performance of overlay networks, grids and p2p applications. Network operat...
Rita H. Wouhaybi, Puneet Sharma, Sujata Banerjee, ...
CCS
2009
ACM
13 years 12 months ago
False data injection attacks against state estimation in electric power grids
A power grid is a complex system connecting electric power generators to consumers through power transmission and distribution networks across a large geographical area. System mo...
Yao Liu, Michael K. Reiter, Peng Ning
KBSE
2005
IEEE
13 years 10 months ago
Automated population of causal models for improved software risk assessment
Recent work in applying causal modeling (Bayesian networks) to software engineering has resulted in improved decision support systems for software project managers. Once the causa...
Peter Hearty, Norman E. Fenton, Martin Neil, Patri...