Следене
Chakkrit (Kla) Tantithamthavorn
Chakkrit (Kla) Tantithamthavorn
ARC DECRA Fellow, Senior Lecturer, Faculty of Information Technology, 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
4432017
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
3252016
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
2612018
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
2372015
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
2072020
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
1402015
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
1222018
The Impact of Correlated Metrics on the Interpretation of Defect Models
J Jiarpakdee, C Tantithamthavorn, AE Hassan
IEEE Transactions on Software Engineering, 2019
80*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
752016
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
722020
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
702019
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
682018
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
512013
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
50*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
422021
Predicting Defective Lines Using a Model-Agnostic Technique
S Wattanakriengkrai, P Thongtanunam, C Tantithamthavorn, H Hata, ...
IEEE Transactions on Software Engineering, 2020
412020
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
312021
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
302020
The impact of IR-based classifier configuration on the performance and the effort of method-level bug localization
C Tantithamthavorn, SL Abebe, AE Hassan, A Ihara, K Matsumoto
Information and Software Technology 102, 160-174, 2018
302018
Towards a better understanding of the impact of experimental components on defect prediction modelling
C Tantithamthavorn
Proceedings of the 38th International Conference on Software Engineering …, 2016
302016
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