Detecting and correcting user interface discrepancies

Systems and methods are provided for detecting discrepancies in information that is displayed to a user across different webpages of an online shopping system. User interaction with the online shopping system is simulated in one example to collect data relating to webpages of the online shopping sys...

Full description

Saved in:
Bibliographic Details
Main Authors Dong, Jingyu, Chen, Tian, Kuo, Calvin Yue-Ren, Olmstead-Wilcox, Stuart, Wang, Zheshen, Teodorescu, Dan Catalin, Zhan, Zhaofeng
Format Patent
LanguageEnglish
Published 12.09.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Online AccessGet full text

Cover

More Information
Summary:Systems and methods are provided for detecting discrepancies in information that is displayed to a user across different webpages of an online shopping system. User interaction with the online shopping system is simulated in one example to collect data relating to webpages of the online shopping system. The data is analyzed to identify relevant semantic blocks of data and compare the data in those blocks across webpages. In an additional example, source code for the webpages is analyzed using machine-learning systems, which are targeted based on the results of the user interaction simulation to identify problematic source code and correct associated issues.
Bibliography:Application Number: US202117362842