公开(公告)号：US20180089054A1

公开(公告)日：2018-03-29

申请号：US15565533

申请日：2015-04-30

Applicant: ENTIT SOFTWARE LLC

Inventor： Olga Shershevsky ,  Amichai Nitsan ,  Aviad Israeli

IPC: G06F11/34 ,  G06F17/22

CPC classification number: G06F11/3438 ,  G06F11/3409 ,  G06F17/2211 ,  G06F17/2247 ,  G06F2201/865 ,  G06F2201/875

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.

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：US10572327B2

公开(公告)日：2020-02-25

申请号：US15744092

申请日：2015-07-15

Applicant: ENTIT Software LLC

Inventor： Haim Shuvali ,  Amichai Nitsan

IPC: G06F11/07 ,  G06F11/32

Abstract: In one example of the disclosure, incident data indicative of a crash of an application is obtained, the crash occurring during an access of the application by a user at a computing device. A session depth at which the crash occurred is determined based upon the incident data. Time period data is obtained, the time period data indicative of a time period, following the crash, until the user next accesses the application at the computing device. A severity score for the crash is determined based upon the session depth and the time period.

公开(公告)号：US10530835B2

公开(公告)日：2020-01-07

申请号：US15544142

申请日：2015-01-29

Applicant: ENTIT SOFTWARE LLC

Inventor： Amichai Nitsan ,  Avi Saidian

IPC: H04L29/08 ,  G06F9/451 ,  G06F9/445

Abstract: In one example of the disclosure, a graphic user interface is sent to a client system for display via a web browser. The graphic user interface is to enable receipt of a user instruction to commence recording of user actions made via the web browser upon a subject web application. Responsive to receipt of the user instruction, a key is caused to be sent via the web browser to a host system hosting the subject web application. The key and recording data indicative of user actions performed upon the subject web application via the web browser are received from the host system via the web browser. The key and the recording data are included within a web page or web pages of the subject web application. The key is utilized to access the recording data. The recording data is sent to the client system for display via the web browser.

公开(公告)号：US10372513B2

公开(公告)日：2019-08-06

申请号：US15564541

申请日：2015-04-30

Applicant: ENTIT Software LLC

Inventor： Amichai Nitsan ,  Haim Shuvali ,  Hana Giat

IPC: G06F9/54 ,  G06F16/23 ,  G06F11/34

Abstract: A computing device includes at least one processor and a machine-readable storage medium storing instructions. The instructions may be executable by the hardware processor to, in response to a detection of an application event during execution of an application, read a plurality of entries included in a call stack at a time of the application event. The instructions are also executable to determine a classification identifier for the application event using the plurality of entries included in the call stack, and store information about the application event in a database entry associated with the classification identifier.

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.

公开(公告)号：US20180203684A1

公开(公告)日：2018-07-19

申请号：US15742677

申请日：2015-07-09

Applicant: ENTIT Software LLC

Inventor： Haim Shuvali ,  Avi Kabizon ,  Amichai Nitsan

IPC: G06F8/65 ,  G06F8/71 ,  G06F11/34

CPC classification number: G06F8/65 ,  G06F8/71 ,  G06F11/3438

Abstract: Examples include a user segmentation system for staged application rollout. In an example, an application usage engine receives data for users including a number of screens used in an application version and a number of user actions used in the application version. A staged rollout engine determines, for each user, an early adopter probability based on the number of screens used in the application version and the number of user actions used in the application version, and in some examples a preconfigured factor or weighting. For a subsequent application version, staged rollout groupings are determined. Users are assigned to staged rollout groupings based on the early adopter probabilities.