About me

Hi, This is Zihe Song.
I’m currently pursuing a Ph.D. degree in Computer Science at UT Dallas, and working with Prof. Wei Yang. My research interests focus on software testing.

Education

  • Ph.D. in computer Science, The University of Texas at Dallas, 2020 - Current
  • M.S. in Computer Science, The University of Texas at Dallas, 2018 - 2020
  • B.E. in Communication Engineering, University of Electronic Science and Technology of China, 2014 - 2018

Internship

  • NetEase Fuxi Lab Summer Intern, 2020
    • Multi-style Imitation Learning Framework for Game Testing

Publication

  • Can you mimic me? Exploring the Use of Android Record & Replay Tools in Debugging
      Z. Song, S Mansur, R. Rathnasuriya, Y. Fatima, W. Yang, K. Moran, W. Lam
    Accepted by MobileSoft 2025

  • Guardian: A Runtime Framework for LLM-Based UI Exploration
      D. Ran, H. Wang, Z. Song, M. Wu, Y. Cao, Y. Zhang, W. Yang, T. Xie
    Accepted by ISSTA 2024

  • WEFix: Intelligent Automatic Generation of Explicit Waits for Efficient Web End-to-End Flaky Tests
    X. Liu, Z. Song, W. Fang, W. Yang, W. Wang
    Accepted by WWW 2024

  • An Empirical Analysis of Compatibility Issues for Industrial Mobile Games
      Z. Song, Y. Chen, L. Ma, S. Lu, H. Lin, C. Fan, W. Yang
    Accepted by ISSRE 2022

  • NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems
      S. Chen, C. Liu, M. Haque, Z. Song, W. Yang
    Accepted by ESEC/FSE 2022

  • NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models
      S. Chen, Z. Song, M. Haque, C. Liu, W. Yang
    Accepted by CVPR 2022

  • An Empirical Analysis of UI-based Flaky Tests
      A. Romano, Z. Song, S. Grandhi, W. Yang, W. Wang
    Accepted by ICSE 2021

  • An Automated Framework for Gaming Platform to Test Multiple Games
      Z. Song
    Accepted by ICSE 2020 SRC