Patanamon (Pick) Thongtanunam

School of Computing and Information Systems (CIS). The University of Melbourne, Victoria, Australia

patanamon_new.jpg

Dr. Patanamon Thongtanunam (or Pick) is a Senior Lecturer (equivalent to Associate Professor) at the School of Computing and Information Systems, the University of Melbourne.

Pick’s research interests include empirical software engineering, data mining, and data-driven techniques to support software engineering tasks. Her primary research goals are directed towards uncovering empirical evidence, extracting knowledge from data recorded in software repositories, gleans actionable insights for software engineering management, and developing automated approaches to support developers. Her research work and endeavour has received numerous prestigious awards including an Australian Research Councile (ARC) Discovery Early Career Research Award (2021 - 2024), Japan Society for the Promotion of Science Research Fellowship (2016 - 2018), ACM SIGSOFT Distinguished Paper award, IEEE Computer Society TCSE Distinguished Paper Award, as well as distinguished reviewer awards.

Contact: patanamon{dot}t{at}unimelb.edu.au

Recent Publications

2026

  1. ASE
    AgenticSCR: an autonomous agentic secure code review for immature vulnerabilities detection
    Wachiraphan Charoenwet, Kla Tantithamthavorn, Patanamon Thongtanunam, Hong Yi Lin, Minwoo Jeong, and 1 more author
    In Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering, 2026
  2. ASE
    Agentic Code Review in the Terminal: A Trajectory-Level Analysis of Behavior, Cost, and Human-Alignment
    Wachiraphan Charoenwet, Kla Tantithamthavorn, Patanamon Thongtanunam, Hong Yi Lin, Minwoo Jeong, and 1 more author
    In Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering, 2026
  3. FSE
    Hallujudge: A reference-free hallucination detection for context misalignment in code review automation
    Kla Tantithamthavorn, Hong Yi Lin, Patanamon Thongtanunam, Wachiraphan Charoenwet, Minwoo Jeong, and 1 more author
    In Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering, 2026
  4. APSEC
    Agentic Code Review in the Terminal: A Trajectory-Level Analysis of Behavior, Cost, and Human-Alignment
    Panya Trakoolgerntong, Arus Thienmee, Patsathorn Chadbantern, Chaiyong Ragkhitwetsagul, Tao Xiao, and 2 more authors
    In Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering, 2026
  5. ICSE
    AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report
    Eduardo Oliveira, Michael Fu, Patanamon Thongtanunam, Sonsoles López-Pernas, and Mohammed Saqr
    In Proceedings of the IEEE/ACM 48th International Conference on Software Engineering, 2026
  6. IST
    Just-in-time bug classifier: A step towards integrating Automated Program Repair in CI/CD pipelines
    Vinay Kabadi, Xuan-Bach D Le, Patanamon Thongtanunam, and Christoph Treude
    Information and Software Technology, 2026
  7. ESEM
    Can LLMs Identify Missing Elements in Requirements Elicitation? An Empirical Evaluation Using Production-Derived User Stories in an Industry Setting
    Vinay Kabadi, Abhiram Wuntakal, Naresh Gutha, Lahiri Bellarykar, Xuan Bach D Le, and 3 more authors
    In 20th International Symposium on Empirical Software Engineering and Measurement (ESEM 2026), 2026
  8. EMSE
    Open source software development tool installation
    Larissa Salerno, Christoph Treude, and Patanamon Thongtanunam
    Empirical Software Engineering, 2026
  9. TOSEM
    Issue-Oriented Agent-Based Framework for Automated Review Comment Generation
    Shuochuan Li, Dong Wang, Patanamon Thongtanunam, Zan Wang, Jiuqiao Yu, and 1 more author
    ACM Trans. Softw. Eng. Methodol., 2026

Recent Funding

  1. 1,200,000 AUD
    Co-leading the Responsible AI Software Engineering (RAISE) program with 9 industry partners to train 11 graduates (7 Ph.D., 1 Master, and 3 Honours) addressing the urgent need for deep expertise and excellent skills in Responsible AI Software Engineering for digital health, transportation, and defence sectors.
  2. 402,000 AUD
    For 3 years (2021 - )
    ARC DECRA Fellowship is the competitive fund which is awarded to Early Career Researchers in Australia to support excellent basic and applied research. Success rate (DE21): 200/1173 (17.1%) across all disciplines; 56/331 (16.9%) for the Engineering, Information and Computing Sciences discipline.

    Recent Awards

    1. SANER 2025 Most Influential Paper (as known as the Test of time award)
      The award honours a paper published a decade earlier that have significant impact to the research field. This award recognises the paper titled “Who should review my code? A file location-based code reviewer recommendation approach for modern code review”.
    2. MSR 2024 Ric Holt Early Career Achievement Award
      For their contributions to understanding and improving modern code review practices using mining software repositories techniques.
    3. CIS Excellence in Teaching & Education award (2023)
      For the outstanding leadership and service in the coordination of Master of Software Engeering program at the School of Computing and Information Systems, The University of Melbourne