Chakkrit Tantithamthavorn

Best Publications

• An Empirical Comparison of Model Validation Techniques for Defect Prediction Models

  Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Kenichi Matsumoto

  559
  Citations

• The Impact of Automated Parameter Optimization on Defect Prediction Models

  Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Kenichi Matsumoto

  402
  Citations

• Automated parameter optimization of classification techniques for defect prediction models

  Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Kenichi Matsumoto

  359
  Citations

• The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models

  Chakkrit Tantithamthavorn;Ahmed E. Hassan;Kenichi Matsumoto

  321
  Citations

• Who should review my code? A file location-based code-reviewer recommendation approach for Modern Code Review

  Patanamon Thongtanunam;Chakkrit Tantithamthavorn;Raula Gaikovina Kula;Norihiro Yoshida

  281
  Citations

• LineVul

  Unknown

  274
  Citations

• VulRepair: a T5-based automated software vulnerability repair

  Unknown

  158
  Citations

• An experience report on defect modelling in practice: pitfalls and challenges

  Chakkrit Tantithamthavorn;Ahmed E. Hassan

  145
  Citations

• An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models

  Jirayus Jiarpakdee;Chakkrit Tantithamthavorn;Hoa Khanh Dam;John Grundy

  132
  Citations

• Predicting Defective Lines Using a Model-Agnostic Technique

  Supatsara Wattanakriengkrai;Patanamon Thongtanunam;Chakkrit Tantithamthavorn;Hideaki Hata

  118
  Citations

• DeepLineDP: Towards a Deep Learning Approach for Line-Level Defect Prediction

  Unknown

  114
  Citations

• The Impact of Mislabelling on the Performance and Interpretation of Defect Prediction Models

  Unknown

  105
  Citations

• Studying the dialogue between users and developers of free apps in the Google Play Store

  Safwat Hassan;Chakkrit Tantithamthavorn;Cor-Paul Bezemer;Ahmed E. Hassan

  101
  Citations

• Mining software defects: should we consider affected releases?

  Unknown

  96
  Citations

• Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues

  Unknown

  95
  Citations

• Deep Learning for Android Malware Defenses: a Systematic Literature Review.

  Unknown

  86
  Citations

• Comments on “Researcher Bias: The Use of Machine Learning in Software Defect Prediction”

  Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Kenichi Matsumoto

  86
  Citations

• The impact of automated feature selection techniques on the interpretation of defect models

  Jirayus Jiarpakdee;Chakkrit Tantithamthavorn;Christoph Treude

  71
  Citations

• The Impact of Correlated Metrics on the Interpretation of Defect Models

  Jirayus Jiarpakdee;Chakkrit Tantithamthavorn;Ahmed E. Hassan

  65
  Citations

• AutoSpearman: Automatically Mitigating Correlated Software Metrics for Interpreting Defect Models

  Jirayus Jiarpakdee;Chakkrit Tantithamthavorn;Christoph Treude

  54
  Citations