Publications
Journals
[DOI] Ragkhitwetsagul C., Krinke J., Choetkiertikul M., Sunetnanta T., Sarro F., Adoption of Automated Software Engineering Tools and Techniques in Thailand, Empirical Software Engineering, 2024
[DOI][Preprint] Choetkiertikul M., Puengmongkolchaikit A., Chandra P., Ragkitwetsakul C., Maipradit R., Hata H., Sunetnanta T., Matsumoto K., Studying the association between Gitcoin's issues and resolving outcomes, Journal of Systems and Software, 2023.
[DOI (Open Access)] Sangaroonsilp, P., Dam, H. K., Choetkiertikul, M., Ragkhitwetsagul, C., & Ghose, A. (2023). A taxonomy for mining and classifying privacy requirements in issue reports. Information and Software Technology, 157 (January).
[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.
International Conferences
[Preprint] Ragkhitwetsagul C., Kongwongsupak K., Maneesawas T., Puttiwarodom N., Rojpaisarnkit R., Choetkiertikul M., Kula R. G., Sunetnanta T., jscefr: A Framework to Evaluate the Code Proficiency for JavaScript, Proceedings of the 40th International Conference on Software Maintenance and Evolution (ICSME '24) Tool Demo Track, 6-11 October 2024, Flagstaff, AZ, USA.
[Preprint] Ragkhitwetsagul C., Prasertpol V., Ritta N., Sae-Wong P., Noraset T. and Choetkiertikul M., Typhon: Automatic Recommendation of Relevant Code Cells in Jupyter Notebooks, Proceedings of the 21st International Joint Conference on Computer Science and Software Engineering (JCSSE '24), 19-22 June 2024, Phuket, Thailand.
[Preprint] Ragkhitwetsagul C., Jarukitpipat V., Kula R. G., Choetkiertikul M., Chhun K., Wanprasert W., Sunetnanta T., See to Believe: Using Visualization To Motivate Updating Third-party Dependencies, Proceedings of the 21st International Joint Conference on Computer Science and Software Engineering (JCSSE '24), 19-22 June 2024, Phuket, Thailand.
[Preprint] Lapvikai P., Ragkhitwetsagul C., Choetkiertikul M., Higo Y., Autorepairability: A New Software Quality Characteristic, 31st IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2024), Rovaniemi, Finland.
[Preprint] Choetkiertikul M., Hoonlor A., Ragkhitwetsagul C., Pongpaichet S., Sunetnanta T., Settewong T., Jiravatvanich V., Kaewpichai U., Mining the Characteristics of Jupyter Notebooks in Data Science Projects in the Mining Software Repositories 2023 (MSR '23) - Registered Report, 15-16 May 2023, Melbourne, Australia.
[Preprint] Rattanukul, P., Chansida Makaranond, C., Pumipat Watanakulcharus, P., Ragkhitwetsagul, C., Nearunchorn†, T., Visoottiviseth, V., Choetkiertikul, M., Sunetnanta, T., Microusity: A testing tool for Backends for Frontends (BFF) Microservice Systems in the 31st IEEE/ACM International Conference on Program Comprehension (ICPC '23), 15-16 May 2023, Melbourne, Australia.
[Preprint] Ritta, N., & Settewong, T., Kula, R. G., Ragkhitwetsagul, C., Sunetnanta, T., & Matsumoto, K., Reusing My Own Code : Preliminary Results for Competitive Coding in Jupyter Notebooks in the 29th Asia-Pacific Software Engineering Conference (APSEC 2022), Virtual Event.
[Preprint] Settewong, T., Ritta, N., Kula, R. G., Ragkhitwetsagul, C., Sunetnanta, T., & Matsumoto, K., Why Visualize Data When Coding ? Preliminary Categories for Coding in Jupyter Notebooks in the 29th Asia-Pacific Software Engineering Conference (APSEC 2022), Virtual Event.
[Preprint] [Website] Vipawan Jarukitpipat, Klinton Chhun, Wachirayana Wanprasert, Chaiyong Ragkhitwetsagul, Raula Gaikovina Kula, Bodin Chinthanet, Takashi Ishio, Morakot Choetkiertikul, Thanwadee Sunetnanta, Kenichi Matsumoto, V-Achilles: An Interactive Visualization of Transitive Security Vulnerabilities. In the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE '22) Tool Demonstrations Track, 10-14 October 2022 Ann Arbor, Michigan, United States.
Pacawat Kangwanwisit, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Rungroj Maipradit, Hideki Hata and Ken-ichi Matsumoto. A Component Recommendation Model for Issues in Software Projects. In the International Joint Conference on Computer Science and Software Engineering (JCSSE '22), June 22nd- 25th, 2022, Silpakorn University, Bangkok, Thailand
[Preprint] [Website] Ragkhitwetsagul C., Krinke J., Choetkiertikul M., Sunetnanta T., Sarro F., Identifying Software Engineering Challenges in Software SMEs: A Case Study in Thailand. in the 29th International Conference on Software Analysis, Evolution, and Reengineering (SANER’22) - Industry Track, 15-18 March 2022, Honolulu, Hawaii.
[Website] Phaithoon S., Wongnil S., Pussawong P., Choetkiertikul M., Rakhitwetsagul C., Sunetnanta T., Maipradit R., Hata H., Matsumoto K., FixMe: A GitHub Bot for Detecting and Monitoring On-hold Self-Admitted Technical Debt. in the Proceedings of the International Conference on Automated Software Engineering (ASE) - Tool Demonstrations Track, 2021 (Virtual Event).
[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] 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.
International Workshops
[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, 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