SATURN2015

The authors are engaged in long-term operations and maintenance of multiple large-scale systems with fluctuating operational requirements. To find the most cost-effective means to update and upgrade these systems, we used a systems architecture view to create a consistent method. The process stresses the importance and value of data-driven assessment of an as-is architecture to guide evolution of the to-be architecture. This process results in knowledge with supporting data that can be transferred to customers, including the U.S. government, to create substantiated purchase requests with measurable return on investment.