Dr Patanamon Thongtanunam

Patanamon Thongtanunam
Lecturer
School of Computer Science
Faculty of Engineering, Computer and Mathematical Sciences

Patanamon Thongtanunam is a lecturer at the School of Computer Science, the University of Adelaide. She was a postdoctoral research fellow at Queen's University, Canada. Her research and scholarly endeavours have been acknowledged with numerous awards, scholarships, and research grants ranging from university-specific to nation-wide including the most prestigious and selective sources of national funding in Japan from the Japan Society for the Promotion of Science (JSPS). To date, she received a total research grant of A$123,000 from JSPS, NEC C&C Foundation, Queen's University, MEXT, and NAIST.

Her primary research goals are directed towards data-driven software engineering, i.e., uncovering empirical evidence and extracting knowledge from data recorded in software repositories by using statistical analysis. In particular, her research is focused on understanding and improving developer collaboration practices. During her PhD study, she performed research on code review process, which is one of the collaboration-intensive software processes. Her PhD thesis has highlighted the effect that collaboration practices in code reviews can have on the quality of software products. Moreover, she developed tools to support the collaboration in code reviews, which in turn, will improve the quality of software products. In addition to the collaboration in the code review processes, the variety of collaboration activities which nowadays can be found in large software repositories have provided opportunities and challenges for software engineering researchers and practitioners. Therefore, she is keen to perform research that (1) incorporates the various types of collaboration activities, (2) glean actionable insights for software engineering management, and (3) provide tool support for software developers in order to improve software quality. Her research has been published in a high impact Software Engineering journal, e.g., the Springer Journal of Empirical Software Engineering (EMSE) and several premier international software engineering conferences like the International Conference on Software Engineering (ICSE), International Conference on Mining Software Repositories (MSR), and International Conference on Software Analysis, Evolution, and Reengineering (SANER).

Connect With Me

Dr Patanamon Thongtanunam

Patanamon Thongtanunam is a lecturer at the School of Computer Science, the University of Adelaide. She was a postdoctoral research fellow at Queen's University, Canada. Her research and scholarly endeavours have been acknowledged with numerous awards, scholarships, and research grants ranging from university-specific to nation-wide including the most prestigious and selective sources of national funding in Japan from the Japan Society for the Promotion of Science (JSPS). To date, she received a total research grant of A$123,000 from JSPS, NEC C&C Foundation, Queen's University, MEXT, and NAIST.

Her primary research goals are directed towards data-driven software engineering, i.e., uncovering empirical evidence and extracting knowledge from data recorded in software repositories by using statistical analysis. In particular, her research is focused on understanding and improving developer collaboration practices. During her PhD study, she performed research on code review process, which is one of the collaboration-intensive software processes. Her PhD thesis has highlighted the effect that collaboration practices in code reviews can have on the quality of software products. Moreover, she developed tools to support the collaboration in code reviews, which in turn, will improve the quality of software products. In addition to the collaboration in the code review processes, the variety of collaboration activities which nowadays can be found in large software repositories have provided opportunities and challenges for software engineering researchers and practitioners. Therefore, she is keen to perform research that (1) incorporates the various types of collaboration activities, (2) glean actionable insights for software engineering management, and (3) provide tool support for software developers in order to improve software quality. Her research has been published in a high impact Software Engineering journal, e.g., the Springer Journal of Empirical Software Engineering (EMSE) and several premier international software engineering conferences like the International Conference on Software Engineering (ICSE), International Conference on Mining Software Repositories (MSR), and International Conference on Software Analysis, Evolution, and Reengineering (SANER).

Appointments

Date Position Institution name
2018 Lecturer The University of Adelaide

Education

Date Institution name Country Title
2014 - 2016 Nara Institute of Science and Technology Japan PhD
2012 - 2014 Nara Institute of Science and Technology Japan M.Eng

Certifications

Date Title Institution name Country
Distinguished Reviewer Award IEEE International Conference on Software Maintenance and Evolution
Excellent Ph.D. Student Award Nara Institute of Science and Technology Japan
IEEE Kansai Excellent Student Paper Award IEEE Kansai

Research Interests

Journals

Year Citation
2017 Thongtanunam, P., McIntosh, S., Hassan, A., & Iida, H. (2017). Review participation in modern code review: An empirical study of the android, Qt, and OpenStack projects. Empirical Software Engineering, 22(2), 768-817.
DOI Scopus2 WoS1
2013 Thongtanunam, P., Kula, R. G., Cruz, A. E., Yoshida, N., Ichikawa, K., & Iida, H. (2013). Mining History of Gamification Towards Finding Expertise in Question and Answering Communities: Experience and Practice with Stack Exchange. The Review of Socionetwork Strategies, 7(2), 115-130.
DOI

Conference Papers

Year Citation
2016 Thongtanunam, P., McIntosh, S., Hassan, A., & Iida, H. (2016). Revisiting code ownership and its relationship with software quality in the scope of modern code review. In L. K. Dillon, W. Visser, & L. Williams (Eds.), Proceedings - International Conference on Software Engineering Vol. 14-22-May-2016 (pp. 1039-1050). Austin, TX: IEEE.
DOI Scopus5 WoS2
2015 Thongtanunam, P., Tantithamthavorn, C., Kula, R., Yoshida, N., Iida, H., & Matsumoto, K. (2015). Who should review my code? A file location-based code-reviewer recommendation approach for Modern Code Review. In Y. -G. Guéhéneuc, B. Adams, & A. Serebrenik (Eds.), 2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering, SANER 2015 - Proceedings (pp. 141-150). Online: IEEE.
DOI Scopus27 WoS16
2015 Thongtanunam, P., McIntosh, S., Hassan, A., & Iida, H. (2015). Investigating code review practices in defective files: An empirical study of the Qt system. In M. D. Penta, M. Pinzger, & R. Robbes (Eds.), IEEE International Working Conference on Mining Software Repositories Vol. 2015-August (pp. 168-179). Florence, ITALY: IEEE.
DOI Scopus15 WoS11
2014 Thongtanunam, P., Yang, X., Yoshida, N., Kula, R., Cruz, A., Fujiwara, K., & Iida, H. (2014). REDA: A web-based visualization tool for analyzing modern code review dataset. In Proceedings - 30th International Conference on Software Maintenance and Evolution, ICSME 2014 (pp. 605-608). Victoria, CANADA: IEEE COMPUTER SOC.
DOI Scopus8 WoS6
2014 Pangsakulyanont, T., Thongtanunam, P., Port, D., & Iida, H. (2014). Assessing MCR discussion usefulness using semantic similarity. In Proceedings - 2014 6th International Workshop on Empirical Software Engineering in Practice, IWESEP 2014 (pp. 49-54). Osaka, JAPAN: IEEE.
DOI Scopus3 WoS1
2014 Thongtanunam, P., Kula, R., Cruz, A., Yoshida, N., & Iida, H. (2014). Improving code review effectiveness through reviewer recommendations. In H. Sharp, R. Prikladnicki, A. Begel, & C. R. D. Souza (Eds.), 8th International Workshop on Cooperative and Human Aspects of Software Engineering, CHASE 2014 - Proceedings (pp. 119-122). ACM.
DOI Scopus7
Position
Lecturer
Phone
83136197
Campus
North Terrace
Building
Ingkarni Wardli Building, floor 4
Room Number
4 27
Org Unit
School of Computer Science

top