Reflective Annotations for Functional Test (RAFT)

Reflective Annotations for Functional Test (RAFT) is a conceptual modeling technology for reifying simulation models. The overall goal of RAFT is to provide objectivity and actionable equivalence for system of system (SoS) owners through cost effective, automated and maximally correct simulation functional verification. The technical goal of RAFT is to create accurate high-level behavioral abstractions of a simulation that can be automatically compared to provide measures of functional equivalence and can be stored, disseminated and depicted as standard model based system engineering representations (MBSE). It fills an existing gap in modeling and simulation (M&S) functional verification and validation (V&V) technology and tools, like the unified modeling language (UML) and systems modeling language (SysML), addressing a shortfall in automated tools to descriptively and rapidly support the verification of functional behavior of models and model data. It is directed at simulation stakeholders who want rapid, coarse grained visibility of a models functional behavior, reducing V&V complexity, cost, and increasing reliability and correctness of the models. Rapid verification is critical to weapons systems as their models expected fidelity, resolution and behaviors must be reliable during test events. Approved for Public Release, 15-MDA-8303 (1 July 15)