Abstract
Predicting EDS dependability is not an end in itself. One of the main reasons for quantifying the dependability of a system is the need for some comparable values to find an appropriate system design. Dependability-driven system optimization has been for long time a topic of considerable interest. Various objectives such as the dependability constituents reliability and safety, cost, weight and prediction uncertainty were chosen to rate the systems. Many search heuristics such as evolutionary algorithms [30], tabu search [96] and physical programming [161] have been applied to screen the design space for interesting systems regarding objectives as dependability and costs (a more detailed overview is given in section 5.1).
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© 2008 Springer-Verlag Berlin Heidelberg
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Limbourg, P. (2008). Design Space Specification of Dependability Optimization Problems Using Feature Models. In: Dependability Modelling under Uncertainty. Studies in Computational Intelligence, vol 148. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69287-4_5
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DOI: https://doi.org/10.1007/978-3-540-69287-4_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69286-7
Online ISBN: 978-3-540-69287-4
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