Shengcheng Yu

Nanjing University

Papers

1

Total Citations

9

H-Index

1

About

Shengcheng Yu is a pioneering researcher in software engineering, with a primary focus on advancing graphical user interface (GUI) testing methodologies. His most notable contribution is the development of practical, non-intrusive GUI exploration testing using visual-based robotic arms, a groundbreaking approach that addresses the limitations of traditional intrusive testing frameworks. This work, published in 2024 and already garnering 9 citations, demonstrates his ability to solve real-world challenges in testing diverse embedded systems and platforms that cannot be easily instrumented. By leveraging robotic arms and visual feedback, Yu’s method enables automated, platform-agnostic GUI testing without modifying the target software, significantly expanding the scope of software quality assurance. His research has profound implications for industries relying on embedded systems, from automotive to consumer electronics, where conventional testing tools fall short. Yu’s innovative work has quickly gained recognition, positioning him as a rising leader in non-intrusive testing techniques. His contributions not only advance academic knowledge but also offer practical solutions for improving software reliability in complex, real-world environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Practical Non-Intrusive GUI Exploration Testing with Visual-based Robotic Arms
9 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Nanjing University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago