Automated Data Processing for System-of-Systems Performance Evaluation

Typical Army performance tests are extremely complex, involving many independent-but-interacting systems. These systems and their individual data sources are inherently variable. Existing geographically distributed test networks, including the four-stage increment Warfighter Information Network-Tactical (WIN-T) currently being developed and deployed by the Army, provide a possible framework for realizing significant reductions in the time to parse, process, and store data and to generate evaluation reports for systems under test. To be most useful, the automated data processing solution must be constructed to be scalable and extensible, as well as be sufficiently general to be applicable to a wide variety of test scenarios and requirements. Frontier Technology, Inc. (FTI) is pleased to submit this Phase II SBIR proposal entitled"Automated Data Processing for System-of-Systems Performance Evaluation."FTI has assembled an experienced team of experts from Texas A & M's Center for Applied Technology, Battelle Memorial Institute, and The Boeing Company to assist FTI on the Phase II effort. Our Phase II approach will use our innovative Extensible, Load Adaptive Process System (ELAPS) to achieve the objective to develop a prototype system for complex system-of-systems test evaluation with the goal of improving the efficiency of Army operational test and evaluation processes.