Dependability Modelling under Uncertainty : An Imprecise Probabilistic Approach

Dependability Prediction in Early Design Stages.- Representation and Propagation of Uncertainty Using the Dempster-Shafer Theory of Evidence.- Predicting Dependability Characteristics by Similarity Estimates - A Regression Approach.- Design Space Specification of Dependability Optimization Problems Using Feature Models.- Evolutionary Multi-objective Optimization of Imprecise Probabilistic Models.- Case Study.- Summary, Conclusions and Outlook.