公开(公告)号：US10572368B2

公开(公告)日：2020-02-25

申请号：US15523527

申请日：2014-11-24

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Elad Benedict ,  Ohad Assulin ,  Efrat Egozi Levi

IPC: G06F11/36 ,  G06F11/263 ,  G06F11/34 ,  G06F11/30

Abstract: Application management based on data correlations is disclosed. One example is a system including a data processor, a data element generator, a matrix generator, a data analysis module, a performance module, and a load test manager. The data processor accesses test data based on an application under load testing. The data element generator generates a plurality of transactional data elements based on the test data, each data element comprising at least three data components. The matrix generator generates a covariance matrix based on the data components. The data analysis module determines an eigenvector associated with the covariance matrix, and identifies a correlation between a sub-plurality of the at least three data components based on coefficients of the eigenvector. The performance module determines, based on the correlation, performance metrics for the application under load testing. The load test manager manages, based on the performance metrics, the application under load testing.

公开(公告)号：US09921948B2

公开(公告)日：2018-03-20

申请号：US15028725

申请日：2013-10-30

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Gil Zieder ,  Boris Kozorovitzky ,  Ofer Eliassaf ,  Efrat Egozi Levi ,  Ohad Assulin

IPC: G06F9/44 ,  G06F9/45 ,  G06F17/00 ,  G06F11/36 ,  G06F11/30 ,  G06F9/445 ,  G06N99/00 ,  G06F11/00 ,  G06F11/34 ,  G06F17/30

CPC classification number: G06F11/368 ,  G06F8/20 ,  G06F8/60 ,  G06F8/65 ,  G06F8/71 ,  G06F11/008 ,  G06F11/3466 ,  G06F11/3604 ,  G06F11/3616 ,  G06F17/30377 ,  G06F17/30884 ,  G06N99/005

Abstract: A risk level of a software commit is assessed through the use of a classifier. The classifier may be generated based on attributes pertaining to previous commits and used to determine a risk level for deployment of a software commit into a production environment based on attributes extracted from the software commit.

公开(公告)号：US20170126520A1

公开(公告)日：2017-05-04

申请号：US14932640

申请日：2015-11-04

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Efrat Egozi Levi ,  Rotem Elisadeh ,  Ohad Assulin

IPC: H04L12/26 ,  H04L29/08

CPC classification number: H04L67/14 ,  H04L43/50 ,  H04L67/306

Abstract: In one example in accordance with the present disclosure, a method for test session similarity determination includes capturing a sequence of events from a user session of an application and converting the captured sequence into a data format used for a test sequence. The method also includes converting each event in the test sequence that is not in the captured sequence into a disparate event and creating a unique set including each unique event in the captured sequence and the disparate event. The method also includes determining a first average relative location of the event in the captured sequence and a second average relative location of each event in the rest sequence. The method also includes determining a degree of similarity between the captured sequence and the test sequence based on a comparison of the first and second average relative location and automatically generating a visualization highlighting the degree of similarity.