Supatsara Wattanakriengkrai

Biography

I am a Ph.D. student in the Software Engineering Laboratory at Nara Institute of Science and Technology. My research interests include Empirical Software Engineering, Mining Software Repositories, Software Ecosystems, and Human Aspects of Software Engineering. In detail, my research focuses on the relationship between developer contributions and their package dependencies in software ecosystems, how developers whose code depends on other packages in the software ecosystems, submit contributions to assist these packages. The ultimate goal of my research is to attract developers to make sustained contributions to software ecosystems. My research collaborates with Prof. Raula Gaikovina Kula, Prof. Christoph Treude, Prof. Patanamon Thongtanunam, and Prof. Kenichi Matsumoto.

Contact: wattanakri.supatsara.ws3{at}is.naist.jp

Interests

Empirical Software Engineering
Mining Software Repositories
Software Ecosystems
Security Vulnerability
Human Aspects of Software Engineering

Education

Doctor of Engineering (Expected), 2024

Nara Institute of Science and Technology
Master of Engineering, Information Science, 2021

Nara Institute of Science and Technology
Bachelor of Science, Information and Communication Technology, 2019

Mahidol University

Experience

Web developer

International Workshop on Software Clones

Jan 2022 – Present

Designed and Implemented a website for announcing the IWSC 2022 information and news.

Visiting Research Student

University of Melbourne

Jun 2019 – Sep 2020 Melbourne, Australia

Studied on defect prediction under the supervision of Prof. Patanamon Thongtanunam, at the School of Computing and Information Systems. From this collaboration, we published a research paper ``Predicting defective lines using a model-agnostic technique'' in the IEEE Transactions on Software Engineering.

Visiting Research Student

Nara Institute of Science and Technology

Jun 2018 – Aug 2018 Nara, Japan

Studied on automated identification of design and requirement self-admitted technical debt under the supervision of Prof. Hideaki Hata at Software Engineering Laboratory. From this collaboration, we published a research paper ``Identifying Design and Requirement Self-Admitted Technical Debt Using N-gram IDF'' in the 9th International Workshop on Empirical Software Engineering in Practice (IWESEP 2018).

Recent Publications

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Pattara Leelaprute, Bodin Chinthanet, Supatsara Wattanakriengkrai, Raula Gaikovina Kula, Pongchai Jaisri, Takashi Ishio (2022). Does Coding in Pythonic Zen Peak Performance? Preliminary Experiments of Nine Pythonic Idioms at Scale. ICPC 2022.

Supatsara Wattanakriengkrai, Bodin Chinthanet, Hideaki Hata, Raula Gaikovina Kula, Christoph Treude, Jin Guo, Kenichi Matsumoto (2021). GitHub Repositories with Links to Academic Papers: Public Access, Traceability, and Evolution. Journal of Systems and Software.

DOI

Noppadol Assavakamhaenghan, Supatsara Wattanakriengkrai, Naomichi Shimada, Raula Gaikovina Kula, Takashi Ishio, Kenichi Matsumoto (2021). Does the First-Response Matter for Future Contributions? A Study of First Contributions. MSR 2021.

Panyawut Sriiesaranusorn, Supatsara Wattanakriengkrai, Teyon Son, Takeru Tanaka, Christopher Wiraatmaja, Takashi Ishio, Raula Gaikovina Kula (2020). Kode_Stylers : Author Identification through Naturalness of Code : An Ensemble Approach. FIRE 2020.

Supatsara Wattanakriengkrai, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Hideaki Hata, Kenichi Matsumoto (2020). Predicting Defective Lines Using a Model-Agnostic Technique. IEEE Transactions on Software Engineering.

DOI

See all publications

Recent & Upcoming Talks

Predicting Defective Lines Using a Model-Agnostic Technique

Defect prediction models are proposed to help a team prioritize source code areas files that need Software Quality Assurance (SQA) …

May 25, 2021 4:00 PM — Jun 2, 2021 2:00 PM ICSE 2021