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Chakkrit (Kla) Tantithamthavorn
Chakkrit (Kla) Tantithamthavorn
ARC DECRA Fellow, Senior Lecturer, Faculty of Information Technology, Monash University
Verified email at monash.edu - Homepage
Title
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Year
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
4042017
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
3062016
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
2262018
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
2222015
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
1802020
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
1332015
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
1092018
The Impact of Correlated Metrics on the Interpretation of Defect Models
J Jiarpakdee, C Tantithamthavorn, AE Hassan
IEEE Transactions on Software Engineering, 2019
72*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
662016
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 (3), 1275-1312, 2018
642018
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
582019
An empirical study of model-agnostic techniques for defect prediction models
J Jiarpakdee, C Tantithamthavorn, HK Dam, J Grundy
IEEE Transactions on Software Engineering, 2020
552020
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
482013
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
43*2018
Predicting Defective Lines Using a Model-Agnostic Technique
S Wattanakriengkrai, P Thongtanunam, C Tantithamthavorn, H Hata, ...
IEEE Transactions on Software Engineering, 2020
312020
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
292021
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
272016
A Study of Redundant Metrics in Defect Prediction Datasets
J Jiarpakdee, C Tantithamthavorn, A Ihara, K Matsumoto
Proceedings of the International Symposium on Software Reliability …, 2016
272016
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
252018
Mining A Change History to Quickly Identify Bug Locations: A Case Study of the Eclipse Project
C Tantithamthavorn, R Teekavanich, A Ihara, K Matsumoto
In Proceedings of the 24th IEEE International Symposium on Software …, 2013
252013
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