Data feature tracking through hierarchical node sets
    1.
    发明授权
    Data feature tracking through hierarchical node sets 有权
    通过分层节点集的数据特征跟踪

    公开(公告)号:US08307010B2

    公开(公告)日:2012-11-06

    申请号:US12238877

    申请日:2008-09-26

    IPC分类号: G06F9/44 G06F17/30

    CPC分类号: G06F8/71

    摘要: A data set may be represented as a hierarchical node set, comprising interrelated nodes that respectively include various data features (e.g., versions in a version-controlled software architecture.) Queries may be formulated regarding the inclusion of a particular feature in the nodes of the hierarchical data set (“does this node include this data feature?” and “what is the path of the data feature through the node set?”) Such queries may be evaluated by identifying a source node that includes the data feature, identifying candidate merge paths from the source node to the taget node, and determining whether the nodes of any candidate merge path include the data feature. The results may be presented to the user, e.g., as a visual layout of the portion of the hierarchical node set that includes the data feature or a timeline of nodes illustrating the path of the data feature over time.

    摘要翻译: 数据集可以被表示为分层节点集合,包括分别包括各种数据特征的相关节点(例如,版本控制的软件架构中的版本)。可以针对在特定特征的节点中包括特定特征来形成查询 分层数据集(该节点是否包括该数据特征?以及通过节点集合的数据特征的路径?)可以通过标识包括数据特征的源节点来识别来自源的候选合并路径来评估这样的查询 节点,并且确定任何候选合并路径的节点是否包括数据特征。 结果可以呈现给用户,例如,作为包括数据特征的分层节点集的部分的视觉布局或者说明随时间推移的数据特征的路径的节点的时间线。

    Data Feature Tracking Through Hierarchical Node Sets
    2.
    发明申请
    Data Feature Tracking Through Hierarchical Node Sets 有权
    通过分层节点集的数据特征跟踪

    公开(公告)号:US20100083230A1

    公开(公告)日:2010-04-01

    申请号:US12238877

    申请日:2008-09-26

    IPC分类号: G06F9/44

    CPC分类号: G06F8/71

    摘要: A data set may be represented as a hierarchical node set, comprising interrelated nodes that respectively include various data features (e.g., versions in a version-controlled software architecture.) Queries may be formulated regarding the inclusion of a particular feature in the nodes of the hierarchical data set (“does this node include this data feature?” and “what is the path of the data feature through the node set?”). Such queries may be evaluated by identifying a source node that includes the data feature, identifying candidate merge paths from the source node to the taget node, and determining whether the nodes of any candidate merge path include the data feature. The results may be presented to the user, e.g., as a visual layout of the portion of the hierarchical node set that includes the data feature or a timeline of nodes illustrating the path of the data feature over time.

    摘要翻译: 数据集可以被表示为分层节点集合,包括分别包括各种数据特征的相关节点(例如,版本控制的软件架构中的版本)。可以针对在特定特征的节点中包括特定特征来形成查询 分层数据集(“这个节点是否包括这个数据特征?”和“通过节点集合的数据特征的路径是什么?”)。 可以通过识别包括数据特征的源节点,识别从源节点到标签节点的候选合并路径,以及确定任何候选合并路径的节点是否包括数据特征来评估这样的查询。 结果可以呈现给用户,例如,作为包括数据特征的分层节点集的部分的视觉布局或者说明随时间推移的数据特征的路径的节点的时间线。