OwlEyes-Online: A Fully Automated Platform for Detecting and Localizing UI Display Issues
Yuhui Su, Zhe Liu, Chunyang Chen, Junjie Wang, Qing Wang

TL;DR
OwlEyes-Online is an automated platform that detects and localizes UI display issues in app screenshots, helping developers identify problems like overlaps or missing images efficiently.
Contribution
The paper introduces OwlEyes-Online, a fully automated online tool for detecting and localizing UI display issues in mobile applications, with automatic app execution and detailed issue reporting.
Findings
High accuracy in detecting UI display issues
Automated localization of problematic UI areas
Generates comprehensive test reports for developers
Abstract
Graphical User Interface (GUI) provides visual bridges between software apps and end users. However, due to the compatibility of software or hardware, UI display issues such as text overlap, blurred screen, image missing always occur during GUI rendering on different devices. Because these UI display issues can be found directly by human eyes, in this paper, we implement an online UI display issue detection tool OwlEyes-Online, which provides a simple and easy-to-use platform for users to realize the automatic detection and localization of UI display issues. The OwlEyes-Online can automatically run the app and get its screenshots and XML files, and then detect the existence of issues by analyzing the screenshots. In addition, OwlEyes-Online can also find the detailed area of the issue in the given screenshots to further remind developers. Finally, OwlEyes-Online will automatically…
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