公开(公告)号：US10528456B2

公开(公告)日：2020-01-07

申请号：US15568099

申请日：2015-05-04

Applicant: ENTIT Software LLC

Inventor： Inbar Shani ,  Amichai Nitsan ,  Yaron Burg

IPC: G06F11/36 ,  G06F11/30

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.

公开(公告)号：US20180232299A1

公开(公告)日：2018-08-16

申请号：US15749639

申请日：2015-08-04

Applicant: ENTIT Software LLC

Inventor： Inbar Shani ,  Amichai Nitsan ,  Yaron Burg

IPC: G06F11/36

CPC classification number: G06F11/3684 ,  G06F8/38 ,  G06F9/455 ,  G06F11/3688 ,  G06F11/3692

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.

公开(公告)号：US20180143897A1

公开(公告)日：2018-05-24

申请号：US15568099

申请日：2015-05-04

Applicant: ENTIT Software LLC

Inventor： Inbar Shani ,  Amichai Nitsan ,  Yaron Burg

IPC: G06F11/36 ,  G06F11/30

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.

公开(公告)号：US11119899B2

公开(公告)日：2021-09-14

申请号：US15574370

申请日：2015-05-28

Applicant: ENTIT Software LLC

Inventor： Inbar Shani ,  Amichai Nitsan ,  Yaron Burg

IPC: G06F9/44 ,  G06F11/36 ,  G06F8/34 ,  G06F8/71

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.

公开(公告)号：US10509719B2

公开(公告)日：2019-12-17

申请号：US15758284

申请日：2015-09-08

Applicant: ENTIT Software LLC

Inventor： Inbar Shani ,  Ayal Cohen ,  Yaron Burg

IPC: G06F11/36 ,  G06F16/901 ,  G06F8/71

Abstract: 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.

公开(公告)号：US10365995B2

公开(公告)日：2019-07-30

申请号：US15749639

申请日：2015-08-04

Applicant: ENTIT Software LLC

Inventor： Inbar Shani ,  Amichai Nitsan ,  Yaron Burg

IPC: G06F9/44 ,  G06F11/36 ,  G06F9/455 ,  G06F8/38

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.