Papers

2

Total Citations

35

H-Index

2

About

Zhengyu Shang is a researcher advancing the field of software test automation, with a particular focus on non-intrusive techniques for touch screen applications. His key research areas include robotic visual GUI testing and automated software validation for closed or uncommon systems. Shang’s major contribution is the development of novel approaches that eliminate the need for device intrusion, enabling test automation on platforms where traditional tools like Appium or Sikuli fail—such as gaming consoles (e.g., Nintendo Switch), digital instruments, or action cameras (e.g., GoPro). His seminal work, "RoScript" (2020), has garnered 33 citations, laying the foundation for truly non-intrusive automation. Building on this, his 2025 paper "Robotic Visual GUI Testing for Truly Non-Intrusive Test Automation of Touch Screen Applications" further refines these methods, demonstrating how robotic visual feedback can replace software-based hooks. With a growing citation impact, Shang’s research addresses a critical gap in software engineering, offering practical solutions for testing systems with self-defined operating systems or proprietary interfaces. His work is particularly notable for its potential to revolutionize quality assurance in embedded and consumer electronics domains.

Research Focus

Key Achievements

2
H-Index
2
Papers
35
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
RoScript
33 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Nanjing University of Aeronautics and Astronautics

Top Papers

  1. 1
    RoScript
    33 citations · 2020
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago