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Chakkrit Tantithamthavorn
PeerJ Author
70 Points

Contributions by role

Preprint Author 70

Contributions by subject area

Data Mining and Machine Learning
Data Science
Software Engineering

Chakkrit (Kla) Tantithamthavorn

PeerJ Author

Summary

Currently, I'm a visiting researcher at Queen's University under the supervision of Professor Ahmed E. Hassan. My Ph.D. thesis is focused on studying various concerns of the predictive modelling in software engineering (e.g., bias in data collection) that havily impact the reliability of research results. By looking ahead, researchers and practitoners can take advantage of my study to design successful deployment and interpretation of predictive modelling in software engineering.

Data Mining & Machine Learning Data Science Software Engineering Statistics

Past or current institution affiliations

Queen's University

Work details

Ph.D. Candidate

Nara Institute of Science and Technology
Graduate School of Information Science

Queen's University

Websites

  • http://chakkrit.com
  • Google Scholar

PeerJ Contributions

  • Preprints 1
April 11, 2016 - Version: 2
Comments on "Researcher bias: The use of machine learning in software defect prediction"
Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E Hassan, Kenichi Matsumoto
https://doi.org/10.7287/peerj.preprints.1260v2