Abstract

Copyright © 2010 by D.H.Rhodes and A.M.Ross. Published and used by INCOSE with permission. Abstract. This paper introduces and describes a five aspect taxonomy for the engineering of complex systems, including structural, behavioral, contextual, temporal and perceptual aspects. The taxonomy has proven useful for (1) characterizing methods to ensure coverage of essential aspects of engineering complex systems; (2) providing a focusing framework to develop and select systems engineering innovation strategies; and (3) providing an organizing structure for classifying methodological research projects. Each of the five aspects is described, and the taxonomy is used to discuss recent and ongoing research on innovation strategies within and across the five aspects. Introduction and Motivations Modern socio-technical systems exhibit complexities in multiple dimensions, driving the need for innovation strategies beyond those used in non-complex product engineering. Innovation in the systems context involves a broad perspective and new ways of thinking beyond traditional systems engineering practice (Rhodes and Hastings 2004). Innovation in complex

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