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Bayesian networks (BNs) are a powerful means for modelling dependencies and predicting impacts of architecture design changes on system quality. The extremely demanding parametrization of BNs is however the main obstacle for their practical application, in spite of the extensive tool support. We have promising experiences from using a tree-structured notation, that we call dependency views (DVs),...
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