公开(公告)号：US10459937B2

公开(公告)日：2019-10-29

申请号：US15198550

申请日：2016-06-30

Applicant: ENTIT SOFTWARE LLC

Inventor： Haim Shuvali ,  Noam Mor ,  Guy Offer ,  Avi Kabizon ,  Meir Ron

IPC: G06F16/248 ,  G06F16/27 ,  G06F16/9535 ,  G06F11/34 ,  G06F11/32

Abstract: A plurality of completion times associated with an application request may be obtained. The plurality of completion times may include a first completion time and a second completion time. A plurality of response times associated with a first asynchronous operation triggered by the application request may be obtained. The plurality of completion times may include a first response time associated with the first completion time and a second response time associated with the second completion time. A first correlation score may be determined describing an effect of the first asynchronous operation on the application request based on the first completion time, the second completion time, the first response time, and the second response time. Visualization data may be generated representing the first correlation score.

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.

公开(公告)号：US10684942B2

公开(公告)日：2020-06-16

申请号：US15749657

申请日：2015-08-04

Applicant: ENTIT Software LLC

Inventor： Maria Dermer ,  Avi Kabizon ,  Rudy Medarov

IPC: G06F11/36 ,  G06F11/263 ,  G06F11/34

Abstract: Examples relate to selectively testing applications. In one example, a computing device may: receive, from a testing device, a current state of an application under test (AUT); select a user action flow from a plurality of user action flows, each user action flow including a plurality of user actions previously performed on the AUT when the AUT was in a prior state that corresponds to the current state; and provide the selected user action flow to the testing device.

公开(公告)号：US20180225195A1

公开(公告)日：2018-08-09

申请号：US15749657

申请日：2015-08-04

Applicant: ENTIT Software LLC

Inventor： Maria Dermer ,  Avi Kabizon ,  Rudy Medarov

IPC: G06F11/36 ,  G06F11/263 ,  G06F11/34

CPC classification number: G06F11/3672 ,  G06F11/263 ,  G06F11/34 ,  G06F11/3688 ,  G06F11/3696

Abstract: Examples relate to selectively testing applications. In one example, a computing device may: receive, from a testing device, a current state of an application under test (AUT): select a user action flow from a plurality of user action flows, each user action flow including a plurality of user actions previously performed on the AUT when the AUT was in a prior state that corresponds to the current state; and provide the selected user action flow to the testing device.

公开(公告)号：US09996443B2

公开(公告)日：2018-06-12

申请号：US14531029

申请日：2014-11-03

Applicant: ENTIT SOFTWARE LLC

Inventor： Michael Seldin ,  Shai Embon ,  Avi Kabizon ,  Shalom Kramer

IPC: G04F13/00 ,  G06F11/34

CPC classification number: G06F11/3438 ,  G06F11/3419 ,  G06F2201/865

Abstract: In one implementation, a system for user action duration includes a monitor engine to monitor a number of async operations to be loaded on a user interface, a detection engine to determine a repeating async operation from the number of async operations that has a pattern of repeating timeouts, a removal engine to remove the repeating async operation from the number of async operations, and a calculation engine to calculate a total time for the remaining number of async operations based on a total timeout of each of the remaining number of async operations.