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Morakot Choetkiertikul, Ph.D.
Morakot Choetkiertikul, Ph.D.
Lecture at Faculty of ICT, Mahidol University
Bestätigte E-Mail-Adresse bei mahidol.ac.th
Titel
Zitiert von
Zitiert von
Jahr
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
1832018
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
552017
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
552015
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
512017
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
422020
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
412015
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
402015
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
332018
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
162021
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
162010
Automatic team recommendation for collaborative software development
S Tuarob, N Assavakamhaenghan, W Tanaphantaruk, P Suwanworaboon, ...
Empirical Software Engineering 26 (4), 64, 2021
142021
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
122020
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
122019
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
102023
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
102019
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
102018
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
92021
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
82020
Improving clone detection precision using machine learning techniques
V Arammongkolvichai, R Koschke, C Ragkhitwetsagul, M Choetkiertikul, ...
2019 10th International Workshop on Empirical Software Engineering in …, 2019
72019
Software team member configurations: A study of team effectiveness in moodle
N Assavakamhaenghan, M Choetkiertikul, S Tuarob, RG Kula, H Hata, ...
2019 10th International Workshop on Empirical Software Engineering in …, 2019
62019
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