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

    IPC分类号: G06F11/36 G06F16/28 G06F16/25

    摘要: 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 A FUNCTIONAL STATE OF A SYSTEM UNDER TEST

    公开(公告)号:US20190018748A1

    公开(公告)日:2019-01-17

    申请号:US16069057

    申请日:2016-01-13

    IPC分类号: G06F11/26

    摘要: Example implementations relate to determining a functional state of a system under test. For example, a system to determine a functional state of a system under test may include a system controller to execute a functional test of the system under test by invoking a subset of a plurality of functional agents to interact with the system under test. Further, the system may include an agent repository to interact with the system controller and store the plurality of functional agents. Also, the system may include a state module to determine a functional state for the system under test by querying each of the subset of functional agents and comparing aggregated results from the subset of functional agents against defined for the system under test.

    DETERMINING IDLE TESTING PERIODS
    3.
    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

    IPC分类号: G06F11/36 G06F11/30

    摘要: 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.

    Determining potential test actions

    公开(公告)号:US11119899B2

    公开(公告)日:2021-09-14

    申请号:US15574370

    申请日:2015-05-28

    摘要: 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.

    Automatic regression identification

    公开(公告)号:US10509719B2

    公开(公告)日:2019-12-17

    申请号:US15758284

    申请日:2015-09-08

    IPC分类号: G06F11/36 G06F16/901 G06F8/71

    摘要: Example implementations relate to automatically identifying regressions. 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 regression identification engine to automatically identify, based on the correlated data points, a regression between a first version of the application under test and a second version of the application under test.

    Composing future application tests including test action data

    公开(公告)号:US10365995B2

    公开(公告)日:2019-07-30

    申请号:US15749639

    申请日:2015-08-04

    摘要: 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.

    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

    摘要: 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 a functional state of a system under test

    公开(公告)号:US10860448B2

    公开(公告)日:2020-12-08

    申请号:US16069057

    申请日:2016-01-13

    摘要: Example implementations relate to determining a functional state of a system under test. For example, a system to determine a functional state of a system under test may include a system controller to execute a functional test of the system under test by invoking a subset of a plurality of functional agents to interact with the system under test. Further, the system may include an agent repository to interact with the system controller and store the plurality of functional agents. Also, the system may include a state module to determine a functional state for the system under test by querying each of the subset of functional agents and comparing aggregated results from the subset of functional agents against defined for the system under test.

    Determining idle testing periods
    9.
    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

    IPC分类号: G06F11/36 G06F11/30

    摘要: 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
    10.
    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

    IPC分类号: G06F11/36

    摘要: 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.