Chakkrit (Kla) Tantithamthavorn

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Kenichi MatsumotoNAISTVerified email at is.naist.jp
Ahmed E. HassanACM Fellow, IEEE Fellow, NSERC Steacie Fellow, ACM Influential/IEEE Distinguished EducatorVerified email at cs.queensu.ca
Jirayus JiarpakdeePhD Student, Faculty of Information and Technology, Monash UniversityVerified email at monash.edu
Patanamon (Pick) ThongtanunamSchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Shane McIntoshUniversity of WaterlooVerified email at uwaterloo.ca
Akinori IharaLecturer, Wakayama UniversityVerified email at wakayama-u.ac.jp
John GrundyAustralian Laureate Fellow and Professor of Software Engineering, Faculty of IT, Monash UniversityVerified email at monash.edu
Michael FuMonash UniversityVerified email at monash.edu
Chanathip PornprasitPhD student, Monash UniversityVerified email at monash.edu
Christoph TreudeSenior Lecturer in Software Engineering, Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Norihiro YoshidaRitsumeikan UniversityVerified email at fc.ritsumei.ac.jp
LI LiARC DECRA Fellow and Senior Lecturer, Monash UniversityVerified email at monash.edu
Raula Gaikovina KulaNara Institute of Science and TechnologyVerified email at is.naist.jp
Hoa Khanh DamProfessor in Software Engineering, University of WollongongVerified email at uow.edu.au
Dinh PhungProfessor, Monash UniversityVerified email at monash.edu
Trung LeFaculty of Information Technology, Monash University, AustraliaVerified email at monash.edu
Cor-Paul BezemerASGAARD (Analytics of Software, Games and Repository Data) lab - University of AlbertaVerified email at ualberta.ca
Safwat HassanAssistant professor at University of TorontoVerified email at utoronto.ca
Hideaki HataShinshu UniversityVerified email at shinshu-u.ac.jp
Yepang LiuAssistant Professor, CSE, Southern University of Science and TechnologyVerified email at sustech.edu.cn

Chakkrit (Kla) Tantithamthavorn

Senior Lecturer (DECRA Fellow, JSPS Fellow), Faculty of Information Technology, Monash

Verified email at monash.edu - Homepage

Software Engineering Software Analytics Software Quality Mining Software Repositories SE4AI


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An Empirical Comparison of Model Validation Techniques for Defect Prediction Models C Tantithamthavorn, S McIntosh, AE Hassan, K Matsumoto IEEE Transactions on Software Engineering (TSE) 43 (1), 1-18, 2017	475	2017
Automated Parameter Optimization of Classification Techniques for Defect Prediction Models C Tantithamthavorn, S McIntosh, AE Hassan, K Matsumoto In Proceedings of The 38th International Conference on Software Engineering …, 2016	337	2016
The Impact of Automated Parameter Optimization on Defect Prediction Models C Tantithamthavorn, S McIntosh, AE Hassan, K Matsumoto IEEE Transactions on Software Engineering 45 (7), 683-711, 2018	289	2018
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, ... In Proceedings of the 22nd IEEE International Conference on Software …, 2015	257	2015
The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models C Tantithamthavorn, AE Hassan, K Matsumoto IEEE Transactions on Software Engineering, 2020	227	2020
The Impact of Mislabelling on the Performance and Interpretation of Defect Prediction Models C Tantithamthavorn, S McIntosh, AE Hassan, A Ihara, K Matsumoto In Proceedings of The 37th International Conference on Software Engineering …, 2015	150	2015
An Experience Report on Defect Modelling in Practice: Pitfalls and Challenges C Tantithamthavorn, AE Hassan In Proceedings of the International Conference on Software Engineering (ICSE …, 2018	132	2018
An empirical study of model-agnostic techniques for defect prediction models J Jiarpakdee, CK Tantithamthavorn, HK Dam, J Grundy IEEE Transactions on Software Engineering 48 (1), 166-185, 2020	95	2020
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	87	2019
The Impact of Correlated Metrics on the Interpretation of Defect Models J Jiarpakdee, C Tantithamthavorn, AE Hassan IEEE Transactions on Software Engineering, 2019	86*	2019
Comments on "Researcher Bias: The Use of Machine Learning in Software Defect Prediction" C Tantithamthavorn, S McIntosh, AE Hassan, K Matsumoto IEEE Transactions on Software Engineering (TSE) 42 (11), 1092-1094, 2016	79	2016
Studying the dialogue between users and developers of free apps in the google play store S Hassan, C Tantithamthavorn, CP Bezemer, AE Hassan Empirical Software Engineering 23, 1275-1312, 2018	75	2018
JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction C Pornprasit, C Tantithamthavorn In Proceedings of the International Conference on Mining Software …, 2021	57	2021
AutoSpearman: Automatically mitigating correlated software metrics for interpreting defect models J Jiarpakdee, C Tantithamthavorn, C Treude 2018 IEEE International Conference on Software Maintenance and Evolution …, 2018	54*	2018
Using Co-Change Histories to Improve Bug Localization Performance C Tantithamthavorn, A Ihara, K Matsumoto In Proceedings of the 14th IEEE/ACIS International Conference on Software …, 2013	54	2013
Predicting Defective Lines Using a Model-Agnostic Technique S Wattanakriengkrai, P Thongtanunam, C Tantithamthavorn, H Hata, ... IEEE Transactions on Software Engineering, 2020	53	2020
Practitioners' Perceptions of the Goals and Visual Explanations of Defect Prediction Models J Jiarpakdee, C Tantithamthavorn, J Grundy In Proceedings of the International Conference on Mining Software …, 2021	43	2021
The Impact of Automated Feature Selection Techniques on the Interpretation of Defect Models J Jiarpakdee, C Tantithamthavorn, C Treude Empirical Software Engineering, 1-49, 2020	37	2020
Explainable AI for Software Engineering C Tantithamthavorn, J Jiarpakdee 2021 36th IEEE/ACM International Conference on Automated Software …, 2021	36	2021
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	36	2020

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