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    DETERMINING THE POSSIBILITY OF ADVERSE EFFECTS ARISING FROM A CODE CHANGE
    1.
    发明申请
    DETERMINING THE POSSIBILITY OF ADVERSE EFFECTS ARISING FROM A CODE CHANGE 审中-公开
    确定由代码变更引起的不良影响的可能性

    公开(公告)号：WO2005055051A3

    公开(公告)日：2005-08-25

    申请号：PCT/EP2004052974

    申请日：2004-11-16

    Applicant: IBM ,  IBM UK ,  KOTHARI RAVI ,  MODANI NATWAR

    Inventor： KOTHARI RAVI ,  MODANI NATWAR

    IPC: G06F9/44

    CPC classification number: G06F11/3672

    Abstract: Some of the set of classes within a computer program are important in the sense that the most useful information about the software can be derived from these classes alone. The important classes within the software are identified, as well as any dependent classes. Test cases are defined and associated with all classes. A code change for a class invokes the relevant test case or cases being run. The corresponding test case or cases for any dependent class are also run. If they run successfully (in the sense that the expected results arise), then it is highly likely that the changes introduced in the first class are not affecting the correct execution of the dependent classes.

    Abstract translation: 计算机程序中的一些类是非常重要的，因为关于软件的最有用的信息可以单独从这些类中派生出来。 确定软件中的重要类别以及任何相关类别。 测试用例被定义并与所有类关联。 类的代码更改调用正在运行的相关测试用例或案例。 也运行任何相关类的相应测试用例或案例。 如果它们成功运行（从预期结果出现的意义上来说），那么很可能第一类中引入的更改不会影响依赖类的正确执行。

    Image instance mapping
    3.
    发明专利
    Image instance mapping 未知

    公开(公告)号：GB2519900A

    公开(公告)日：2015-05-06

    申请号：GB201503295

    申请日：2013-06-12

    Applicant: IBM

    Inventor： VERMA AKSHAT ,  KOTHARI RAVI ,  JAYACHANDRAN PRAVEEN

    IPC: G06F9/455 ,  G06F9/44 ,  G06F11/14 ,  G06F11/30

    Abstract: A method and system for image instance mapping is provided. The method includes receiving from change agents on virtual machine instances periodic monitoring data indicating changes for each virtual machine instance. The periodic monitoring data is analyzed and unique updates are applied to the virtual machine instances. High level semantic updates to the virtual machine instances are identified and updates associated with a golden master image are tracked. High level semantic updates to the golden master image are identified and in response, a version tree configured to track drift of each virtual machine instance with respect to golden master image is maintained.

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