|Title||Parametric sensitivity and uncertainty propagation in dependability models|
|Publication Type||Conference Paper|
|Year of Publication||2017|
|Authors||R Pinciroli, KS Trivedi, and A Bobbio|
|Conference Name||Valuetools 2016 10th Eai International Conference on Performance Evaluation Methodologies and Tools|
Copyright © 2016 EAI. Input parameters of dependability models are often not known accurately. Two principal methods of dealing with such parametric uncertainty are: sensitivity analysis and uncertainty propagation. This paper is an initial attempt to link the two approaches. The case-study used here (i.e., the multi-voltage propulsion system for the Italian High Speed Railway) also enhances the model presented in .