| A deep learning model for estimating story points M Choetkiertikul, HK Dam, T Tran, T Pham, A Ghose, T Menzies IEEE Transactions on Software Engineering 45 (7), 637-656, 2018 | 243 | 2018 |
| Predicting delivery capability in iterative software development M Choetkiertikul, HK Dam, T Tran, A Ghose, J Grundy IEEE Transactions on Software Engineering 44 (6), 551-573, 2017 | 70 | 2017 |
| Predicting the delay of issues with due dates in software projects M Choetkiertikul, HK Dam, T Tran, A Ghose Empirical Software Engineering 22, 1223-1263, 2017 | 62 | 2017 |
| Predicting delays in software projects using networked classification (t) M Choetkiertikul, HK Dam, T Tran, A Ghose 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 61 | 2015 |
| JITBot: an explainable just-in-time defect prediction bot C Khanan, W Luewichana, K Pruktharathikoon, J Jiarpakdee, ... Proceedings of the 35th IEEE/ACM international conference on automated …, 2020 | 57 | 2020 |
| Characterization and prediction of issue-related risks in software projects M Choetkiertikul, HK Dam, T Tran, A Ghose 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 280-291, 2015 | 48 | 2015 |
| Who will answer my question on stack overflow? M Choetkiertikul, D Avery, HK Dam, T Tran, A Ghose 2015 24th Australasian software engineering conference, 155-164, 2015 | 45 | 2015 |
| Identifying design and requirement self-admitted technical debt using n-gram idf S Wattanakriengkrai, R Maipradit, H Hata, M Choetkiertikul, T Sunetnanta, ... 2018 9th International Workshop on Empirical Software Engineering in …, 2018 | 40 | 2018 |
| Teddy: automatic recommendation of pythonic idiom usage for pull-based software projects P Phan-Udom, N Wattanakul, T Sakulniwat, C Ragkhitwetsagul, ... 2020 IEEE International Conference on Software Maintenance and Evolution …, 2020 | 25 | 2020 |
| Automatic team recommendation for collaborative software development S Tuarob, N Assavakamhaenghan, W Tanaphantaruk, P Suwanworaboon, ... Empirical Software Engineering 26 (4), 64, 2021 | 23 | 2021 |
| Automatically recommending components for issue reports using deep learning M Choetkiertikul, HK Dam, T Tran, T Pham, C Ragkhitwetsagul, A Ghose Empirical Software Engineering 26, 1-39, 2021 | 23 | 2021 |
| Visualizing the usage of pythonic idioms over time: A case study of the with open idiom T Sakulniwat, RG Kula, C Ragkhitwetsagul, M Choetkiertikul, ... 2019 10th International Workshop on Empirical Software Engineering in …, 2019 | 22 | 2019 |
| A taxonomy for mining and classifying privacy requirements in issue reports P Sangaroonsilp, HK Dam, M Choetkiertikul, C Ragkhitwetsagul, A Ghose Information and Software Technology 157, 107162, 2023 | 21 | 2023 |
| Automatic classifying self-admitted technical debt using n-gram IDF S Wattanakriengkrai, N Srisermphoak, S Sintoplertchaikul, ... 2019 26th Asia-Pacific Software Engineering Conference (APSEC), 316-322, 2019 | 20 | 2019 |
| A risk assessment model for offshoring using CMMI quantitative approach M Choetkiertikul, T Sunetnanta 2010 Fifth International Conference on Software Engineering Advances, 331-336, 2010 | 17 | 2010 |
| Quantifying effectiveness of team recommendation for collaborative software development N Assavakamhaenghan, W Tanaphantaruk, P Suwanworaboon, ... Automated Software Engineering 29 (2), 51, 2022 | 12 | 2022 |
| Fixme: A github bot for detecting and monitoring on-hold self-admitted technical debt S Phaithoon, S Wongnil, P Pussawong, M Choetkiertikul, ... 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 12 | 2021 |
| Towards team formation in software development: A case study of moodle N Assavakamhaenghan, P Suwanworaboon, W Tanaphantaruk, S Tuarob, ... 2020 17th International Conference on Electrical Engineering/Electronics …, 2020 | 11 | 2020 |
| Predicting components for issue reports using deep learning with information retrieval M Choetkiertikul, HK Dam, T Tran, T Pham, A Ghose Proceedings of the 40th International Conference on Software Engineering …, 2018 | 10 | 2018 |
| Mining the characteristics of Jupyter notebooks in data science projects M Choetkiertikul, A Hoonlor, C Ragkhitwetsagul, S Pongpaichet, ... arXiv preprint arXiv:2304.05325, 2023 | 8 | 2023 |
Hoa Khanh DamProfessor in Software Engineering, University of Wollongonguow.edu.au의 이메일 확인됨