Следене
Chakkrit (Kla) Tantithamthavorn
Chakkrit (Kla) Tantithamthavorn
Други именаKla Tantithamthavorn
Senior Lecturer (IEEE Senior Member, DECRA Fellow, JSPS Fellow), Monash University
Потвърден имейл адрес: monash.edu - Начална страница
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Позовавания
Позовавания
Година
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
6142017
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
4242018
Automated parameter optimization of classification techniques for defect prediction models
C Tantithamthavorn, S McIntosh, AE Hassan, K Matsumoto
Proceedings of the 38th international conference on software engineering …, 2016
3962016
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
3452020
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
3212015
LineVul: A Transformer-based Line-Level Vulnerability Prediction
M Fu, C Tantithamthavorn
In Proceedings of the International Conference on Mining Software …, 2022
2752022
VulRepair: a T5-based automated software vulnerability repair
M Fu, C Tantithamthavorn, T Le, V Nguyen, D Phung
Proceedings of the 30th ACM joint european software engineering conference …, 2022
1932022
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
1882015
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
1782018
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
1642020
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
1382021
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
1382019
Predicting Defective Lines Using a Model-Agnostic Technique
S Wattanakriengkrai, P Thongtanunam, C Tantithamthavorn, H Hata, ...
IEEE Transactions on Software Engineering, 2020
1272020
The Impact of Correlated Metrics on the Interpretation of Defect Models
J Jiarpakdee, C Tantithamthavorn, AE Hassan
IEEE Transactions on Software Engineering, 2019
127*2019
Deep learning for android malware defenses: a systematic literature review
Y Liu, C Tantithamthavorn, L Li, Y Liu
ACM Computing Surveys 55 (8), 1-36, 2022
1122022
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
1082018
DeepLineDP: Towards a deep learning approach for line-level defect prediction
C Pornprasit, CK Tantithamthavorn
IEEE Transactions on Software Engineering 49 (1), 84-98, 2022
992022
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
862016
Autospearman: Automatically mitigating correlated software metrics for interpreting defect models.(2018)
J Jiarpakdee, C Tantithamthavorn, C Treude
Proceedings of the 34th International Conference on Software Maintenance and …, 2018
85*2018
Refining chatgpt-generated code: Characterizing and mitigating code quality issues
Y Liu, T Le-Cong, R Widyasari, C Tantithamthavorn, L Li, XBD Le, D Lo
ACM Transactions on Software Engineering and Methodology 33 (5), 1-26, 2024
832024
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