公开(公告)号：US09946638B1

公开(公告)日：2018-04-17

申请号：US15085922

申请日：2016-03-30

Applicant: Open Text Corporation

Inventor： Hong Yuan ,  Xiaochen Nie ,  Tingxian Cheng ,  Yujia Wang ,  Xia Liu ,  Chao Chen

IPC: G06F11/36 ,  G06F17/30 ,  G06F9/46 ,  G06N99/00 ,  G06K9/62 ,  G06K9/66

CPC classification number: G06F11/3696 ,  G06F9/466 ,  G06F11/3672 ,  G06F17/30256 ,  G06K9/6267 ,  G06K9/66 ,  G06N99/005

Abstract: Software testing techniques based on image recognition are disclosed. In various embodiments, a programmatically implemented image classifier is trained to recognize a screen shot image as being associated with a transaction end condition of a transaction. A test script configured to initiate an iteration of the transaction is run. A start time of the iteration of the transaction is recorded. Screen shot images are generated during performance of the iteration of the transaction to capture a series of screen shot images of at least a portion of a user interface display associated with the iteration of the transaction. The image classifier is used to find an earliest-captured image that matches the transaction end condition. A time associated with the matched image is used as a transaction end time to compute an end-to-end time to perform the iteration of the transaction.

公开(公告)号：US10162742B2

公开(公告)日：2018-12-25

申请号：US15915866

申请日：2018-03-08

Applicant: Open Text Corporation

Inventor： Hong Yuan ,  Xiaochen Nie ,  Tingxian Cheng ,  Yujia Wang ,  Xia Liu ,  Chao Chen

IPC: G06K9/62 ,  G06F11/36 ,  G06F17/30 ,  G06F9/46 ,  G06N99/00 ,  G06K9/66

Abstract: Software testing techniques based on image recognition are disclosed. In various embodiments, a programmatically implemented image classifier is trained to recognize a screen shot image as being associated with a transaction end condition of a transaction. A test script configured to initiate an iteration of the transaction is run. A start time of the iteration of the transaction is recorded. Screen shot images are generated during performance of the iteration of the transaction to capture a series of screen shot images of at least a portion of a user interface display associated with the iteration of the transaction. The image classifier is used to find an earliest-captured image that matches the transaction end condition. A time associated with the matched image is used as a transaction end time to compute an end-to-end time to perform the iteration of the transaction.

公开(公告)号：US20180196742A1

公开(公告)日：2018-07-12

申请号：US15915866

申请日：2018-03-08

Applicant: Open Text Corporation

Inventor： Hong Yuan ,  Xiaochen Nie ,  Tingxian Cheng ,  Yujia Wang ,  Xia Liu ,  Chao Chen

IPC: G06F11/36 ,  G06K9/66 ,  G06K9/62 ,  G06F9/46 ,  G06F17/30 ,  G06N99/00

CPC classification number: G06F11/3696 ,  G06F9/466 ,  G06F11/3672 ,  G06F17/30256 ,  G06K9/00624 ,  G06K9/4642 ,  G06K9/6267 ,  G06K9/6271 ,  G06K9/66 ,  G06N99/005

Abstract: Software testing techniques based on image recognition are disclosed. In various embodiments, a programmatically implemented image classifier is trained to recognize a screen shot image as being associated with a transaction end condition of a transaction. A test script configured to initiate an iteration of the transaction is run. A start time of the iteration of the transaction is recorded. Screen shot images are generated during performance of the iteration of the transaction to capture a series of screen shot images of at least a portion of a user interface display associated with the iteration of the transaction. The image classifier is used to find an earliest-captured image that matches the transaction end condition. A time associated with the matched image is used as a transaction end time to compute an end-to-end time to perform the iteration of the transaction.