Jirayus Jiarpakdee
Jirayus Jiarpakdee is a Ph.D. candidate in the School of Computer Science at the University of Adelaide, Australia. His research interest lies in the intersection between statistical modeling and software engineering with a focus on improving software quality. Specifically, his Ph.D. project aims to investigate the impact that various experimental issues have on the interpretation of defect prediction models.
My research interest lies in the intersection between statistical modeling and software engineering with a focus on improving software quality. Specifically, my Ph.D. project aims to investigate the impact that various experimental issues have on the interpretation of defect prediction models.
Conference Papers
| Year | Citation |
|---|---|
| 2016 | Jiarpakdee, J., Tantithamthavorn, C., Ihara, A., & Matsumoto, K. (2016). A Study of Redundant Metrics in Defect Prediction Datasets. In Proceedings - 2016 IEEE 27th International Symposium on Software Reliability Engineering Workshops, ISSREW 2016 (pp. 51-52). Ottawa, CANADA: IEEE. DOI Scopus2 |
| 2016 | Jiarpakdee, J., Ihara, A., & Matsumoto, K. (2016). Understanding question quality through affective aspect in Q&A site. In Proceedings - 1st International Workshop on Emotion Awareness in Software Engineering, SEmotion 2016 (pp. 12-17). Austin, TX: IEEE. DOI Scopus5 WoS3 |
| 2014 | Manaskasemsak, B., Jiarpakdee, J., & Rungsawang, A. (2014). Adaptive learning ant colony optimization for web spam detection. In B. Murgante, S. Misra, A. Rocha, C. Torre, J. Rocha, M. Falcao, . . . O. Gervasi (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 8584 LNCS (pp. 642-653). Guimaraes, PORTUGAL: SPRINGER-VERLAG BERLIN. DOI Scopus1 WoS1 |
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