Jirayus Jiarpakdee
Higher Degree by Research Candidate
School of Computer Science
Faculty of Engineering, Computer and Mathematical Sciences
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.
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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.
Scopus3 WoS12016 Jiarpakdee, J., Ihara, A., & Matsumoto, K. -I. (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.
Scopus5 WoS42014 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.
Scopus1 WoS1
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