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dc.contributor.authorTorres, Gil
dc.contributor.authorBuscemi, Jim
dc.contributor.authorPickett, Kent
dc.contributor.authorHoivik, Tom
dc.contributor.authorSanchez, Susan
dc.contributor.authorUpton, Stephen
dc.contributor.authorWan, Hong
dc.dateMarch 2009
dc.date.accessioned2013-08-28T23:11:08Z
dc.date.available2013-08-28T23:11:08Z
dc.date.issued2009-03
dc.identifier.urihttps://hdl.handle.net/10945/35653
dc.descriptionfrom Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 6 Workshop 18en_US
dc.description.abstractThere is a need to conduct testing in a complex joint mission environment across the acquisition life cycle to improve a program manager's ability to deliver joint capabilities to warfighters. For a joint mission environment with many interdependent systems, assessing individual system and system-of-systems (SoS) contributions to joint mission effectiveness becomes extremely challenging. A change in one system may have cascading effects across the mission environment and, furthermore, many of these systems may be at different points in development and acquisition. This complex adaptive SoS environment makes it nearly impossible to plan efficient tests using current test methods and capabilities. Cogent planning for the tests of these complex adaptive systems involves a very tedious, almost impossible, test planning process for determining what and how exactly to test. To do this efficiently, new test and evaluation (T&E) tools, methods, and processes are needed and data farming has been identified as one tool that may help in this process.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleTeam 6: Data Farming in Netcentric Systems Test Planningen_US
dc.typeArticleen_US


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