Practical and Explainable Analytics to Prevent Future Software Defects

Project: Research

Status	Active
Effective start/end date	2/03/20 → 1/03/23

An empirical study of model-agnostics techniques for defect prediction models
Jiarpakdee, J., Tantithamthavorn, C., Dam, H. K. & Grundy, J., 1 Jan 2022, In: IEEE Transactions on Software Engineering. 48, 1, p. 166-185 21 p.
Research output: Contribution to journal › Article › Research › peer-review

7 Citations (Scopus)
DeepLineDP: towards a deep learning approach for line-level defect prediction
Pornprasit, C. & Tantithamthavorn, C., 21 Jan 2022, (Accepted/In press) In: IEEE Transactions on Software Engineering. 16 p.
Research output: Contribution to journal › Article › Research › peer-review
GPT2SP: a transformer-based Agile Story Point Estimation approach
Fu, M. & Tantithamthavorn, C., 10 Mar 2022, (Accepted/In press) In: IEEE Transactions on Software Engineering. 16 p.
Research output: Contribution to journal › Article › Research › peer-review

IEEE Transactions on Software Engineering (Journal)
Chakkrit Tantithamthavorn (Peer reviewer)
2020
Activity: Publication peer-review and editorial work types › Peer review responsibility

Project Details