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公开(公告)号:US20220283919A1
公开(公告)日:2022-09-08
申请号:US17683672
申请日:2022-03-01
发明人: Bernard GAUF , Apostolos TOPALIS , Jacob HARRIS
IPC分类号: G06F11/263 , G06F11/34
摘要: An embodiment of the present invention is directed to a novel approach of applying Machine Learning, statistical methods and/or other algorithms to identify associations of input conditions and values with results of requirements, measures of performance assessments, and/or other indications. These associations may be provided to an analyst, system designer, other recipient and/or receiving system or component to inform of input conditions and values that uncover system sensitivities.