Detecting transitions
    1.
    发明授权

    公开(公告)号:US10565084B2

    公开(公告)日:2020-02-18

    申请号:US15565533

    申请日:2015-04-30

    Abstract: Examples disclosed herein relate to creating a first document skeleton associated with a first state of an application, creating a second document skeleton associated with a second state of the application, determining, according to a comparison of the first document skeleton and a second document skeleton, whether a transition occurred in the application, and in response to determining that the transition occurred in the application, logging a measured metric associated with the application.

    COMPARABLE USER INTERFACE OBJECT IDENTIFICATIONS

    公开(公告)号:US20200310952A1

    公开(公告)日:2020-10-01

    申请号:US16086176

    申请日:2016-03-23

    Abstract: Example implementations relate to comparable UI object identifications. Some implementations may include a data capture engine to capture data points during test executions of the application under test. The data points may include, for example, test action data and application action data. Additionally, some implementations may include a data correlation engine to correlate each of the data points with a particular test execution of the test executions, and each of the data points may be correlated based on a sequence of events that occurred during the particular test execution. Furthermore, some implementations may also automatically identify, based on the correlated data points, a set of comparable UI objects.

    DETERMINING IDLE TESTING PERIODS
    4.
    发明申请

    公开(公告)号:US20180143897A1

    公开(公告)日:2018-05-24

    申请号:US15568099

    申请日:2015-05-04

    CPC classification number: G06F11/3688 G06F11/302 G06F11/3692

    Abstract: Example implementations relate to determining idle testing periods. Some implementations may include a data capture engine to capture data points during test executions of the application under test. The data points may include, for example, test action data and application action data. Additionally, some implementations may include a data correlation engine to correlate each of the data points with a particular test execution of the test executions, and each of the data points may be correlated based on a sequence of events that occurred during the particular test execution. Furthermore, some implementations may also include an idle testing period determination engine to determine, based on the correlation of the data points, idle testing periods of the test executions. The idle testing periods may be periods of time where both the test executions and the application under test are idle.

    Comparable user interface object identifications

    公开(公告)号:US11436133B2

    公开(公告)日:2022-09-06

    申请号:US16086176

    申请日:2016-03-23

    Abstract: Example implementations relate to comparable UI object identifications. Some implementations may include a data capture engine to capture data points during test executions of the application under test. The data points may include, for example, test action data and application action data. Additionally, some implementations may include a data correlation engine to correlate each of the data points with a particular test execution of the test executions, and each of the data points may be correlated based on a sequence of events that occurred during the particular test execution. Furthermore, some implementations may also automatically identify, based on the correlated data points, a set of comparable UI objects.

    Determining idle testing periods
    8.
    发明授权

    公开(公告)号:US10528456B2

    公开(公告)日:2020-01-07

    申请号:US15568099

    申请日:2015-05-04

    Abstract: Example implementations relate to determining idle testing periods. Some implementations may include a data capture engine to capture data points during test executions of the application under test. The data points may include, for example, test action data and application action data. Additionally, some implementations may include a data correlation engine to correlate each of the data points with a particular test execution of the test executions, and each of the data points may be correlated based on a sequence of events that occurred during the particular test execution. Furthermore, some implementations may also include an idle testing period determination engine to determine, based on the correlation of the data points, idle testing periods of the test executions. The idle testing periods may be periods of time where both the test executions and the application under test are idle.

    COMPOSING FUTURE TESTS
    9.
    发明申请

    公开(公告)号:US20180232299A1

    公开(公告)日:2018-08-16

    申请号:US15749639

    申请日:2015-08-04

    Abstract: Example implementations relate to composing future tests. Some implementations may include a data capture engine to capture data points during test executions of the application under test. The data points may include, for example, test action data and application action data. Additionally, some implementations may include a data correlation engine to correlate each of the data points with a particular test execution of the test executions, and each of the data points may be correlated based on a sequence of events that occurred during the particular test execution. Furthermore, some implementations may also include a test composition engine to compose, based on an interaction with a visualization of results of a verification query of the correlated data points, a future test of the application under test.

    DETERMINING POTENTIAL TEST ACTIONS
    10.
    发明申请

    公开(公告)号:US20180137036A1

    公开(公告)日:2018-05-17

    申请号:US15574370

    申请日:2015-05-28

    Abstract: Example implementations relate to determining potential test actions. Some implementations may include a data capture engine to capture data points during test executions of the application under test. The data points may include, for example, test action data and application action data. Additionally, some implementations may include a data correlation engine to correlate each of the data points with a particular test execution of the test executions, and each of the data points may be correlated based on a sequence of events that occurred during the particular test execution. Furthermore, some implementations may also include a test verification engine to determine, based on the correlation of the data points, a potential test action to perform during a future test execution of the application under test.

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