Invention Grant
- Patent Title: System, method, and computer program for testing the accuracy of software that identifies user interface elements on a webpage
-
Application No.: US17566233Application Date: 2021-12-30
-
Publication No.: US11775740B2Publication Date: 2023-10-03
- Inventor: Dennis Hou , Bill Vasiliadis , Travis Coulter , Jae Jung , Adam Roth
- Applicant: Rakuten Group, Inc.
- Applicant Address: JP Tokyo
- Assignee: Rakuten Group, Inc.
- Current Assignee: Rakuten Group, Inc.
- Current Assignee Address: JP Tokyo
- Agency: Lessani Law Group, PC
- Main IPC: G06F40/174
- IPC: G06F40/174 ; G06F16/957 ; G06F16/958 ; G06F16/951 ; G06F40/169 ; G06F40/117 ; G06F11/32

Abstract:
The present disclosure relates to a system, method, and computer program for testing the accuracy of software that identifies user interface (UI) elements on a webpage (“the auto-identifier software”). The system enables a user to tag UI elements on a webpage with labels. The system creates a normalized specification for the webpage, where the specification includes a mapping of UI elements to normalized labels. The system uses the auto-identifier software to identify UI elements on the webpage. The system evaluates the performance of the auto-identifier software with respect to the webpage using the specification. The system displays diagnostics related to the performance of the auto-identifier software. In certain embodiments, the method is used for testing the accuracy of autofill software on a webform. In certain embodiments, the method is used for testing the accuracy of cart-scraper software on a checkout page.
Public/Granted literature
Information query