DEE – IT infrastructure that supports collection, management and analysis of all digital information in an architecture that provides seamless digital thread and enables tool interoperability, including data structures suitable for AI applications
The digital engineering lifecycle starts with defining a question and collecting the background information. The problem definition involves gathering information and data collected is included on the digital thread. A goal and hypothesis is then formed. Analysis and experimental action items are performed. Countermeasures are considered and data interpretation where conclusions are drawn. Standardization and publish results.