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Technical University of Munich

Dr. Shengcheng Yu

Postdoctoral Researcher

Technical University of Munich
School of Computation, Information and Technology (CIT)
Chair of Software Engineering & AI 
Bildungscampus 2
74076 Heilbronn

Email: 

 

Bio:

Dr. Shengcheng Yu is a Postdoctoral Researcher at the TUM School of Computation, Information and Technology of the Technical University of Munich (TUM), as a member of the Chair of Software Engineering & AI led by Prof. Dr. Chunyang Chen. Dr. Yu received his bachelor and Ph.D. degrees from the Nanjing University (NJU) in 2020 and 2024, respectively.

More information can be seen on https://www.seysc.com/.

 

Research Focus:

Software Testing

GUI Testing

Mobile App Testing

Crowdsourced Testing

GUI Automation

 

Publications:

  • Vision-Based Mobile App GUI Testing: A Survey, https://arxiv.org/abs/2310.13518, 2023.
  • Practical, Automated Scenario-based Mobile App Testing, IEEE Transactions on Software Engineering, 2024.
  • Effective, Platform-Independent GUI Testing via Image Embedding and Reinforcement Learning, ACM Transactions on Software Engineering and Methodology, 2024.
  • Semi-Supervised Crowdsourced Test Report Clustering via Screenshot-Text Binding Rules, ACM International Conference on the Foundations of Software Engineering (FSE), 2024.
  • Practical Non-Intrusive GUI Exploration Testing with Visual-based Robotic Arms, IEEE/ACM 46th International Conference on Software Engineering (ICSE), 2024
  • LLM for Test Script Generation and Migration: Challenges, Capabilities, and Opportunities, IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS), 2023.
  • Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding, IEEE Transactions on Software Engineering, 2023.
  • Layout and Image Recognition Driving Cross-platform Automated Mobile Testing, IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021.
  • Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding, IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021.

Full list on Google Scholar.

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