Publications

Journal publications

[DOI] Choetkiertikul, H. K. Dam, T. Tran, T. Pham, C. Ragkhitwetsagul, A. Ghose. Automatically recommending components for issue reports using deep learning. Empirical Software Engineering (EMSE), (2021) 26:14.

Conference/workshop publications

[Website] C. Khanan, W. Luewichana, K. Pruktharathikoon, J. Jiarpakdee, C. Tantithamthavorn, M. Choetkiertikul, C. Ragkhitwetsagul, T. Sunetnanta. JITBot: An Explainable Just-In-Time Defect Prediction Bot, in the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE ’20) - Tool Demo Track, September 21–25, 2020, Virtual Event, Australia,

[Preprint] [Website Best Tool Demo Award! P. Phan-udom, N. Wattanakul, T. Sakulniwat, C. Ragkhitwetsagul, T. Sunetnanta, M. Choetkiertikul, R.G. Kula Teddy: Automatic Recommendation of PythonicIdiom Usage For Pull-Based Software Project, in The 36th IEEE International Conference on Software Maintenance and Evolution (ICSME 2020) - Tool Demo Track, September 21 - October 3, 2020, Adelaide, Australia.

[Preprint] N. A ssavakamhaenghan, M. Choetkiertikul, S. Tuarob, R. G. Kula, H. Hata, C. Ragkhitwetsagul, T. Sunetnanta, and K. Matsumoto. Software Team Member Configurations: A Study of Team Effectiveness in Moodle, in The 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan.

[Preprint] [Website] T. Sakulniwat, R. G. Kula, C. Ragkhitwetsagul, M. Choetkiertikul, T. Sunetnanta, D. Wang, T. Ishio and K. Matsumoto. Visualizing the Usage of Pythonic Idioms Over Time: A Case Study of the with open Idiom, in The 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan.

[Preprint] V. Arammongkolvichai, R. Koschke, C. Ragkhitwetsagul, M. Choetkiertikul, T. Sunetnanta. Improving Clone Detection Precision using Machine Learning Techniques, in The 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan.

[Preprint] T. Bunkerd, D. Wang, R. G. Kula, C. Ragkhitwetsagul, M. Choetkiertikul, T. Sunetnanta, T. Ishio, and K. Matsumoto. How Do Contributors Impact Code Naturalness? An Exploratory Study of 50 Python Projects, in The 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan.

[Preprint] S. Wattanakriengkrai, N. Srisermphoak, S. Sintoplertchaikul, M. Choetkiertikul, C. Ragkhitwetsagul, T. Sunetnanta, H. Hata and K. Matsumoto. Automatic Classifying Self-Admitted Technical Debt Using N-gram IDF, in the 26th Asia-Pacific Software Engineering Conference (APSEC 19), Putrajaya, Malaysia.

[Preprint, DOI Best Paper Award!  S. Wattanakriengkrai, Rungroj Maipradit, Hideaki Hata, Morakot Choetkiertikul, Thanwadee Sunetnanta and Kenichi Matsumoto. 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), Nara, Japan.

Technical reports

N/A