Chakkrit Tantithamthavorn

Chakkrit Tantithamthavorn publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Chakkrit Tantithamthavorn sits on this spectrum.

Chakkrit Tantithamthavorn D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Chakkrit Tantithamthavorn sits on this spectrum.

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