The continued growth of system complexity is challenging traditional qualitative, heuristics-based approaches to architecting system emergence. As these emergent attributes are products of the architecture and established early in the system development lifecycle, where ambiguity is most pronounced, a shift to a model-based approach is viewed as essential to understanding system interdependencies and the impacts of tradeoff decisions.
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