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Contact


Email

patanamon.t@unimelb.edu.au

Credentials


Position
Associate Professor
School of Computing and Information Systems
Education
PhD
Nara Institute of Science and Technology
Masters (Research)
Nara Institute of Science and Technology
Bachelors Degree (Honours)
Kasetsart University
ORCID

0000-0001-6328-8839

A/Prof Patanamon Thongtanunam

Associate Professor
School of Computing and Information Systems

61 Scholarly works
4 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Open source software development tool installation: Challenges and strategies for novice developers
    DOI: 10.1007/s10664-026-10885-5
  • 2026

    Journal article

    Just-in-time bug classifier: A step towards integrating Automated Program Repair in CI/CD pipelines
    DOI: 10.1016/j.infsof.2026.108076
  • 2026

    Journal article

    Issue-Oriented Agent-Based Framework for Automated Review Comment Generation
    DOI: 10.1145/3817606
  • 2026

    Journal article

    Leveraging Reviewer Experience in Code Review Comment Generation
    DOI: 10.1145/3762183
  • 2024

    Research grants (other domestic)

    Australian Hazelnut Five-Year Program of Research - Theme 2 Benchmarking
  • 2021

    Research grants (ARC, NHMRC, MRFF)

    Data-Driven Code Reviews for Cost-Effective Software Quality Assurance
  • 2021

    Research grants (other domestic)

    Data-Driven Code Reviews for Cost-Effective Software Quality Assurance
Patanamon Thongtanunam

RECENT SCHOLARLY WORKS

  • 2026

    Conference Proceedings

    AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report
    DOI: 10.1145/3786580.3786956
  • 2025

    Journal article

    Automatic Programming: Large Language Models and Beyond
    DOI: 10.1145/3708519
  • 2025

    Conference Proceedings

    Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks
    DOI: 10.1109/MSR66628.2025.00044
  • 2025

    Conference Proceedings

    CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models
    DOI: 10.18653/v1/2025.findings-acl.476
  • 2025

    Conference Proceedings

    Human-In-The-Loop Software Development Agents: Challenges and Future Directions
    DOI: 10.1109/MSR66628.2025.00112
  • 2025

    Conference Proceedings

    From Release to Adoption: Challenges in Reusing Pre-Trained Ai Models for Downstream Developers
    DOI: 10.1109/ICSME64153.2025.00022

RECENT PROJECTS

  • 2025

    Research contracts (non-grants)

    Evaluate Advanced Benchmarking Methods for Assessing the Performance of LLMs on Code Review Tasks

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

Read about our Indigenous priorities

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