Chakkrit (Kla) Tantithamthavorn
Chakkrit (Kla) Tantithamthavorn
ARC DECRA Fellow, Faculty of Information Technology, Monash University
Verified email at monash.edu - Homepage
TitleCited byYear
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
1532017
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
1532016
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
1082015
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
652015
The impact of automated parameter optimization on defect prediction models
C Tantithamthavorn, S McIntosh, AE Hassan, K Matsumoto
IEEE Transactions on Software Engineering, 2018
452018
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
312018
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
292013
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
282016
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, 2019
272019
The Impact of Correlated Metrics on the Interpretation of Defect Models
J Jiarpakdee, C Tantithamthavorn, AE Hassan
IEEE Transactions on Software Engineering, 2019
19*2019
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
152018
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
152013
Towards a better understanding of the impact of experimental components on defect prediction modelling
C Tantithamthavorn
2016 IEEE/ACM 38th International Conference on Software Engineering …, 2016
142016
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
142016
Autospearman: Automatically mitigating correlated metrics for interpreting defect models
J Jiarpakdee, C Tantithamthavorn, C Treude
arXiv preprint arXiv:1806.09791, 2018
82018
Impact Analysis of Granularity Levels on Feature Location Technique
C Tantithamthavorn, A Ihara, H Hata, K Matsumoto
Requirements Engineering 432, 135-149, 2014
82014
ScottKnottESD: The Scott-Knott Effect Size Difference (ESD) Test
C Tantithamthavorn
https://cran.r-project.org/web/packages/ScottKnottESD/, 2018
72018
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
32018
Mining software defects: should we consider affected releases?
S Yatish, J Jiarpakdee, P Thongtanunam, C Tantithamthavorn
Proceedings of the 41st International Conference on Software Engineering …, 2019
12019
Artefact: An R Implementation of the AutoSpearman Function
J Jiarpakdee, C Tantithamthavorn, C Treude
2018 IEEE International Conference on Software Maintenance and Evolution …, 2018
12018
The system can't perform the operation now. Try again later.
Articles 1–20