• DocumentCode
    2920769
  • 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
  • fYear
    2007
  • fDate
    9-13 April 2007
  • Firstpage
    1
  • Lastpage
    8
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Conference, 2007 1st Annual IEEE
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-1041-X
  • Electronic_ISBN
    1-4244-1041-X
  • Type

    conf

  • DOI
    10.1109/SYSTEMS.2007.374653
  • Filename
    4258858