In this paper, the authors present a methodology to evaluate and optimize the robustness of an embedded system in terms of invariability in case of design revisions. Early decisions in embedded system design may be revised in later stages resulting in additional costs. A method that quantifies the expected additional costs as the robustness value is proposed. Since the determination of the robustness based on arbitrary revisions is computationally expensive, an efficient set-based approach that uses a symbolic encoding as binary decision diagrams is presented. Moreover, a methodology for the integration of the optimization of the robustness into a design space exploration is proposed.