Follow
Patanamon (Pick) Thongtanunam
Patanamon (Pick) Thongtanunam
School of Computing and Information Systems, The University of Melbourne
Verified email at unimelb.edu.au - Homepage
Title
Cited by
Cited by
Year
Who Should Review My Code? A File Location-Based Code-Reviewer Recommendation Approach for Modern Code Review
P Thongtanunam, C Tantithamthavorn, RG Kula, N Yoshida, H Iida, ...
3042015
Revisiting Code Ownership and Its Relationship with Software Quality in the Scope of Modern Code Review
P Thongtanunam, S McIntosh, AE Hassan, H Iida
The 38th International Conference on Software Engineering (ICSE2016), to appear, 2016
1592016
Review Participation in Modern Code Review: An Empirical Study of the Android, Qt, and OpenStack Projects
P Thongtanunam, S McIntosh, AE Hassan, H Iida
Journal of Empirical Software Engineering (EMSE), to appear, 2016
1292016
Mining software defects: Should we consider affected releases?
S Yatish, J Jiarpakdee, P Thongtanunam, C Tantithamthavorn
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
1192019
Investigating Code Review Practices in Defective Files: An Empirical Study of the Qt System
P Thongtanunam, S McIntosh, AE Hassan, H Iida
Proceedings of the 12th International Working Conference on Mining Software …, 2015
1152015
Predicting defective lines using a model-agnostic technique
S Wattanakriengkrai, P Thongtanunam, C Tantithamthavorn, H Hata, ...
IEEE Transactions on Software Engineering 48 (5), 1480-1496, 2020
972020
Improving code review effectiveness through reviewer recommendations
P Thongtanunam, RG Kula, AEC Cruz, N Yoshida, H Iida
Proceedings of the 7th International Workshop on Cooperative and Human …, 2014
902014
The impact of human factors on the participation decision of reviewers in modern code review
S Ruangwan, P Thongtanunam, A Ihara, K Matsumoto
Empirical Software Engineering 24, 973-1016, 2019
582019
Pyexplainer: Explaining the predictions of just-in-time defect models
C Pornprasit, C Tantithamthavorn, J Jiarpakdee, M Fu, P Thongtanunam
2021 36th IEEE/ACM International Conference on Automated Software …, 2021
572021
Autotransform: Automated code transformation to support modern code review process
P Thongtanunam, C Pornprasit, C Tantithamthavorn
Proceedings of the 44th international conference on software engineering …, 2022
492022
Review dynamics and their impact on software quality
P Thongtanunam, AE Hassan
IEEE Transactions on Software Engineering 47 (12), 2698-2712, 2020
432020
Anti-patterns in modern code review: Symptoms and prevalence
M Chouchen, A Ouni, RG Kula, D Wang, P Thongtanunam, MW Mkaouer, ...
2021 IEEE international conference on software analysis, evolution and …, 2021
392021
Workload-aware reviewer recommendation using a multi-objective search-based approach
WHA Al-Zubaidi, P Thongtanunam, HK Dam, C Tantithamthavorn, ...
Proceedings of the 16th ACM international conference on predictive models …, 2020
332020
Reda: A web-based visualization tool for analyzing modern code review dataset
P Thongtanunam, X Yang, N Yoshida, RG Kula, AEC Cruz, K Fujiwara, ...
2014 IEEE International Conference on Software Maintenance and Evolution …, 2014
322014
Commentfinder: a simpler, faster, more accurate code review comments recommendation
Y Hong, C Tantithamthavorn, P Thongtanunam, A Aleti
Proceedings of the 30th ACM joint European software engineering conference …, 2022
302022
Understanding shared links and their intentions to meet information needs in modern code review: A case study of the OpenStack and Qt projects
D Wang, T Xiao, P Thongtanunam, RG Kula, K Matsumoto
Empirical Software Engineering 26, 1-32, 2021
292021
Assessing MCR discussion usefulness using semantic similarity
T Pangsakulyanont, P Thongtanunam, D Port, H Iida
2014 6th International Workshop on Empirical Software Engineering in …, 2014
202014
Where should i look at? recommending lines that reviewers should pay attention to
Y Hong, CK Tantithamthavorn, PP Thongtanunam
2022 IEEE international conference on software analysis, evolution and …, 2022
192022
Will this clone be short-lived? Towards a better understanding of the characteristics of short-lived clones
P Thongtanunam, W Shang, AE Hassan
Empirical Software Engineering 24, 937-972, 2019
192019
Assessing the students' understanding and their mistakes in code review checklists: an experience report of 1,791 code review checklist questions from 394 students
CY Chong, P Thongtanunam, C Tantithamthavorn
2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021
182021
The system can't perform the operation now. Try again later.
Articles 1–20