Title :
Combined Systems Engineering and Management in the Evolution of Complex Adaptive Systems
Author :
DeRosa, Joseph K. ; McCaughin, L. Keith
Author_Institution :
MITRE Corp., Bedford
Abstract :
Many modern systems consist of a dynamic network of interconnected people, processes and technologies. The evolution of such complex adaptive systems is governed by multiple stakeholders with varying value propositions and equities. Enlightened systems engineering and management must deal holistically with these systems using interacting processes from both disciplines. Linking fundamentals from cognitive science, organizational theory, networks, systems engineering and technology development, we identify the patterns and deep structures in their evolution. This results in a framework of innovation, integration and governance processes for combined systems engineering and management of complex adaptive systems.
Keywords :
adaptive systems; large-scale systems; software development management; cognitive science; combined systems engineering; complex adaptive systems; organizational theory; Adaptive systems; Cities and towns; Conference management; Engineering management; Intelligent networks; Joining processes; Pattern analysis; Systems engineering and theory; Technology management; USA Councils; Complex Adaptive System; Evolution; Selection; Variety; X-Teams;
Conference_Titel :
Systems Conference, 2007 1st Annual IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-1041-X
Electronic_ISBN :
1-4244-1041-X
DOI :
10.1109/SYSTEMS.2007.374653