Quantifiable Capability Delivery Increments (QCDI)
EBR supports the Office of the Assistant Secretary of Defense for Networks and Information Integration (OASD/NII) in an initiative to further refine the definition of Capability Delivery Increments (CDI) for the Net Centric portfolio of programs. In the QCDI activity, EBR is working with the Johns Hopkins University Applied Physics Laboratory to quantify the future demand for net centric capabilities over different timeframes and classes of users, develop approaches for estimating the capability provided by net-centric programs, and construct methodologies for applying the QCDI model for a range of analytic needs. Over many years EBR has developed extensive experience and expertise in measurement and assessment, particularly in the areas of metrics development, assessment of net centric systems and capabilities, and analysis of concepts and systems-of-systems considerations associated with the Global Information Grid.
For the Quantifiable Capability Delivery Increments (QCDI) program we are:
- Developing methodologies to analyze both supply and demand, whether associated with a single program, a set of interacting programs from the net-centric portfolio, or a combination net-centric programs and non net-centric programs that have an impact on each other;
- Helping to expand the QCDI Demand Model to include demand associated with users involved in operational contexts such as irregular warfare and cyber operations;
- Enhancing the statistical basis of the model by: 1) improving on the Monte Carlo techniques currently used with the QCDI model; 2) developing approaches to increased demand caused by clustering and chaining of operational events; and 3) introducing a temporal structure that will allow users to explore the effects of a stochastic demand by activating traffic generators;
- Developing a network mission assurance risk assessment methodology to estimate the impact of net centric capability gaps in terms of mission/operational risk;
- Supporting numerous studies for DoD components that choose to leverage the QCDI capabilities;
- Providing training on effective use of the tool in the context of complex system engineering analyses often required for supply; and
- Developing an approach for deriving more detailed representations of demand (based on the QCDI model) that accommodates the fact that devices may not be uniformly distributed across organizations.