Robotic Visual GUI Testing for Truly Non-Intrusive Test Automation of Touch Screen Applications

Test automation intrusive to the devices under test is difficult to apply on closed or uncommon touch screen systems, e.g., a Switch game console or a digital instrument running a self-defined operating system. There is a lack of non-intrusive test automation techniques for situations where intrusive testing is impossible or not easy to apply. This paper presents RoScript, a novel robotic visual GUI testing system for truly non-intrusive test automation of touch screen applications. RoScript expresses GUI actions in visual test scripts and executes them via a physical robot. A key innovation of RoScript is a test engine armed with environment calibration techniques to achieve automated test execution without manually setting any environment parameter or adjusting the robot arms for a new subject under test. Additionally, two complementary computer vision-based methods are also introduced to record test scripts from videos of human actions on a touch screen. The RoScript test automation does not rely on the internal system of a device under test, making it truly non-intrusive and suitable for touch screen applications running on almost any platform. We evaluated RoScript on a diverse range of devices--including three Android/iOS phones, a Windows tablet, a Linux-based Raspberry Pi, a GoPro camera, and a Switch game console--across over 1100 GUI actions in 160 test scenarios. The results demonstrate RoScript’s high accuracy in test execution: 94% for executing test scripts and 97% for replicating GUI actions. Furthermore, RoScript accurately recorded about 85% of human touch screen actions into test code. These results highlight RoScript’s potential as a truly non-intrusive, cross-platform solution for GUI test automation.

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Publication Details

Journal
IEEE Transactions on Software Engineering
Published
2025-02-21
DOI
https://doi.org/10.1109/tse.2025.3544441
Citations
2
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
2.48
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article

Robotic Visual GUI Testing for Truly Non-Intrusive Test Automation of Touch Screen Applications

Shuoyan Yan, Ju Qian, Yan Wang, Zhengyu Shang et al.
2 citations
IEEE Transactions on Software Engineering
Industrial Vision Systems and Defect Detection
2.48
article

Robotic Visual GUI Testing for Truly Non-Intrusive Test Automation of Touch Screen Applications

Shuoyan Yan, Ju Qian, Yan Wang, Zhengyu Shang, Yiming Jin, Guizhou Lv, Lin Chen
article en
2 citations

Abstract

Test automation intrusive to the devices under test is difficult to apply on closed or uncommon touch screen systems, e.g., a Switch game console or a digital instrument running a self-defined operating system. There is a lack of non-intrusive test automation techniques for situations where intrusive testing is impossible or not easy to apply. This paper presents RoScript, a novel robotic visual GUI testing system for truly non-intrusive test automation of touch screen applications. RoScript expresses GUI actions in visual test scripts and executes them via a physical robot. A key innovation of RoScript is a test engine armed with environment calibration techniques to achieve automated test execution without manually setting any environment parameter or adjusting the robot arms for a new subject under test. Additionally, two complementary computer vision-based methods are also introduced to record test scripts from videos of human actions on a touch screen. The RoScript test automation does not rely on the internal system of a device under test, making it truly non-intrusive and suitable for touch screen applications running on almost any platform. We evaluated RoScript on a diverse range of devices--including three Android/iOS phones, a Windows tablet, a Linux-based Raspberry Pi, a GoPro camera, and a Switch game console--across over 1100 GUI actions in 160 test scenarios. The results demonstrate RoScript’s high accuracy in test execution: 94% for executing test scripts and 97% for replicating GUI actions. Furthermore, RoScript accurately recorded about 85% of human touch screen actions into test code. These results highlight RoScript’s potential as a truly non-intrusive, cross-platform solution for GUI test automation.

IEEE Transactions on Software EngineeringVol. 51(4)
Nanjing University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 12%
Industrial Vision Systems and Defect Detection
2.48
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