公开(公告)号：US10860458B2

公开(公告)日：2020-12-08

申请号：US15316618

申请日：2014-07-31

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Inbar Shani ,  Gil Pearl ,  Amichai Nitsan

IPC: G06F11/36 ,  G06F11/30 ,  G06F11/34 ,  G06F8/65

Abstract: In one example of the disclosure, a user-defined success criterion for an application change is received. The criterion is provided to a computing system associated with a developer-user of the application. Evaluation code, for evaluating implementation of the change according to the criterion, is received from the computing system. The evaluation code is caused to execute responsive to receipt of a notice of production deployment of the change. A success rating for the change is determined based upon application performance data attained via execution of the evaluation code.

公开(公告)号：US20170192875A1

公开(公告)日：2017-07-06

申请号：US15316618

申请日：2014-07-31

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Inbar Shani ,  Gil Pearl ,  Amichai Nitsan

IPC: G06F11/36

CPC classification number: G06F11/3608 ,  G06F8/65 ,  G06F11/302 ,  G06F11/3428 ,  G06F11/3612 ,  G06F11/3664

Abstract: In one example of the disclosure, a user-defined success criterion for an application change is received. The criterion is provided to a computing system associated with a developer-user of the application. Evaluation code, for evaluating implementation of the change according to the criterion, is received from the computing system. The evaluation code is caused to execute responsive to receipt of a notice of production deployment of the change. A success rating for the change is determined based upon application performance data attained via execution of the evaluation code.

公开(公告)号：US10360140B2

公开(公告)日：2019-07-23

申请号：US15032667

申请日：2013-11-27

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Boaz Shor ,  Gil Pearl ,  Ohad Assulin ,  Inbar Shani

IPC: G06F11/36

Abstract: Example embodiments relate to determining code coverage based on production sampling. In example embodiments, a production execution data set that includes metrics for code units of a software application is obtained, where the metrics include input and output values for each of the code units and an average execution count for each of the code units. Further, application code execution is tracked during a testing procedure of the software application to determine executed lines of code. At this stage, production code coverage of the software application is determined based on the production execution data set and the executed lines of code.