Patanamon (Pick) Thongtanunam

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

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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

2023

  1. IEEE Software
    Augmented Agile: Human-Centered AI-Assisted Software Management
    Rashina Hoda, Hoa Dam, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, and Margaret-Anne Storey
    IEEE Software, 2023
  2. ASE
    Repeated Builds During Code Review: An Empirical Study of the OpenStack Community
    Rungroj Maipradit, Dong Wang, Patanamon Thongtanunam, Raula Gaikovina Kula, Yasutaka Kamei, and 1 more author
    In Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, 2023
    Acceptance rate: 21% (134/629)
  3. SANER
    Towards Automated Code Reviews: Does Learning Code Structure Help?
    Hong Yi Lin, and Patanamon Thongtanunam
    In Proceedings of the IEEE International Conference on Software Analysis, Evolution and Reengineering, 2023
    Acceptance rate: 40% (12/30)
  4. SANER
    D-ACT: Towards Diff-Aware Code Transformation for Code Review Under a Time-Wise Evaluation
    Chanathip Pornprasit, Chakkrit Tantithamthavorn, Patanamon Thongtanunam, and Chunyang Chen
    In Proceedings of the IEEE International Conference on Software Analysis, Evolution and Reengineering, 2023
    Acceptance rate: 27% (56/207)
  5. Trans. Info.
    An Exploration of Cross-Patch Collaborations via Patch Linkage in OpenStack
    Dong Wang, Patanamon Thongtanunam, Raula GAIKOVINA Kula, and Kenichi Matsumoto
    IEICE Transaction on Information and Systems, 2023

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. ACM SIGSOFT Distinguished Paper Award
      For our paper titled ``PyExplainer: Explaining the Predictions of Just-In-Time Defect Models'' published at the International Conference on Automated Software Engineering (ASE2021).
    2. IEEE Computer Society TCSE Distinguished Paper Award
      For our paper titled ``Towards Just-Enough Documentation for Agile Effort Estimation: What Information Should Be Documented?'' published at the International Conference on Software Maintenance and Evolution (ICSME2021). Only 4/43 accepted papers received the award.
    3. Distinguished PC Member Award
      For outstanding service on the program committee at The Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE2020)