Invention Grant
US07752158B2 System and method for generating an adaptive software knowledge model incorporating new information with model dependency analysis
有权
用于生成具有模型依赖性分析的新信息的自适应软件知识模型的系统和方法
- Patent Title: System and method for generating an adaptive software knowledge model incorporating new information with model dependency analysis
- Patent Title (中): 用于生成具有模型依赖性分析的新信息的自适应软件知识模型的系统和方法
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Application No.: US11510626Application Date: 2006-08-28
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Publication No.: US07752158B2Publication Date: 2010-07-06
- Inventor: Michael J. Wookey
- Applicant: Michael J. Wookey
- Applicant Address: US CA Redwood City
- Assignee: Oracle America, Inc.
- Current Assignee: Oracle America, Inc.
- Current Assignee Address: US CA Redwood City
- Agency: Marsh Fischmann & Breyfogle, LLP
- Agent Kent A. Lembke; Jonathon A. Szumny
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06F9/44
Abstract:
A knowledge generation machine (KGM) that collects information of varying types from a plurality of different sources is provided. Because information about a software component may come from third parties or external information, the KGM is configured to find and store the new information from these sources. The KGM detects this new information quickly and automatically, and extends a knowledge model using this new information. The KGM generates a knowledge model that expands and adapts as new information is acquired, without the need for manual intervention.
Public/Granted literature
- US20080071722A1 System and method for generating an adaptive software knowledge model Public/Granted day:2008-03-20
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