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USEFUL MEASURES OF COMPLEXITY: A MODEL OF ASSESSING DEGREE OF COMPLEXITY IN ENGINEERED SYSTEMS AND ENGINEERING PROJECTS

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Author
Ton, Cuong
Date
2021-12
Advisor
Harney, Robert C.
Kang, Wei
Whitcomb, Clifford A.
Giachetti, Ronald E.
Van Bossuyt, Douglas
Semmens, Robert
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Abstract
Many modern systems are very complex, a reality which can affect their safety and reliability of operations. Systems engineers need new ways to measure problem complexity. This research lays the groundwork for measuring the complexity of systems engineering (SE) projects. This research proposes a project complexity measurement model (PCMM) and associated methods to measure complexity. To develop the PCMM, we analyze four major types of complexity (structural complexity, temporal complexity, organizational complexity, and technological complexity) and define a set of complexity metrics. Through a survey of engineering projects, we also develop project profiles for three types of software projects typically used in the U.S. Navy to provide empirical evidence for the PCMM. The results of our work on these projects show that as a project increases in complexity, the more difficult and expensive it is for a project to meet all requirements and schedules because of changing interactions and dynamics among the project participants and stakeholders. The three projects reveal reduction of project complexity by setting a priority and a baseline in requirements and project scope, concentrating on the expected deliverable, strengthening familiarity of the systems engineering process, eliminating redundant processes, and clarifying organizational roles and decision-making processes to best serve the project teams while also streamlining on business processes and information systems.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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http://hdl.handle.net/10945/68753
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