A scenario-driven approach for value, risk, and cost analysis in system architecting for innovation

Abstract

We present a quantitative method for scenario-driven value, risk, and cost analysis when proposing new system architectures for innovation projects. The method helps to articulate the relative benefits and/or disadvantages of the proposed set of scenarios in the early architecting phases of a new system. It provides the arguments on which to base an informed decision to select the final architectural scenarios for further consideration in the design. In this paper we present a case study in which we applied the proposed method.