What This Document Is
This is a research paper originating from the University of Southern California’s Center for Systems and Software Engineering (CSSE), published in 2007. It delves into the emerging field of System of Systems (SoS) engineering and its significant implications for cost modeling. The paper focuses on synthesizing existing concepts related to SoS to establish a foundation for more accurate cost estimation in complex system development projects. It’s a scholarly work intended for those involved in systems engineering, software cost analysis, and acquisition planning.
Why This Document Matters
This paper is valuable for graduate students, researchers, and professionals working on projects involving the integration of multiple independent systems. Individuals involved in defense contracting, large-scale IT implementations, or any project where existing systems are combined to create new capabilities will find this work particularly relevant. It’s especially useful when grappling with the challenges of estimating costs associated with SoS design, integration, and testing – areas often overlooked by traditional cost modeling techniques. Understanding the foundational concepts explored here can improve project budgeting and resource allocation.
Common Limitations or Challenges
This paper is a theoretical exploration of SoS concepts and their application to cost modeling. It does *not* present a fully developed, ready-to-use cost model. It also doesn’t offer specific software tools or step-by-step instructions for implementation. The research focuses on defining characteristics and parameters relevant to SoS cost estimation, rather than providing concrete numerical predictions or case studies with detailed cost breakdowns. It reflects the state of knowledge in 2007 and may not incorporate the most recent advancements in the field.
What This Document Provides
* A synthesis of multiple definitions of “System of Systems” to identify common characteristics.
* An examination of how traditional cost estimation models fall short when applied to SoS architectures.
* Discussion of key parameters and boundaries relevant to developing an initial SoS cost model.
* Analysis of the unique challenges presented by SoS development processes.
* Identification of areas where further research is needed to improve SoS cost estimation practices.