Research output per year
Research output per year
- 11 results
Search results
-
2023
DeepLineDP: towards a deep learning approach for line-level defect prediction
Pornprasit, C. & Tantithamthavorn, C., 1 Jan 2023, In: IEEE Transactions on Software Engineering. 49, 1, p. 84-98 15 p.Research output: Contribution to journal › Article › Research › peer-review
4 Citations (Scopus) -
GPT2SP: a transformer-based Agile Story Point Estimation approach
Fu, M. & Tantithamthavorn, C., 1 Feb 2023, In: IEEE Transactions on Software Engineering. 49, 2, p. 611-625 16 p.Research output: Contribution to journal › Article › Research › peer-review
5 Citations (Scopus) -
2022
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
37 Citations (Scopus) -
Predicting defective lines using a model-agnostic technique
Wattanakriengkrai, S., Thongtanunam, P., Tantithamthavorn, C., Hata, H. & Matsumoto, K., 1 May 2022, In: IEEE Transactions on Software Engineering. 48, 5, p. 1480-1496 17 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile15 Citations (Scopus) -
Search-based fairness testing for regression-based machine learning systems
Perera, A., Aleti, A., Tantithamthavorn, C., Jiarpakdee, J., Turhan, B., Kuhn, L. & Walker, K., May 2022, In: Empirical Software Engineering. 27, 3, 36 p., 79.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile3 Citations (Scopus) -
SQAPlanner: generating data-informed software quality improvement plans
Rajapaksha, D., Tantithamthavorn, C., Jiarpakdee, J., Bergmeir, C., Grundy, J. & Buntine, W., 1 Aug 2022, In: IEEE Transactions on Software Engineering. 48, 8, p. 2814-2835 24 p.Research output: Contribution to journal › Article › Research › peer-review
4 Citations (Scopus) -
The impact of data merging on the interpretation of cross-project Just-In-Time defect models
Lin, D., Tantithamthavorn, C. & Hassan, A. E., 1 Aug 2022, In: IEEE Transactions on Software Engineering. 48, 8, p. 2969-2986 19 p.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
2021
Actionable analytics: stop telling me what it is; please tell me what to do
Tantithamthavorn, C., Jiarpakdee, J. & Grundy, J., Jul 2021, In: IEEE Software. 38, 4, p. 115-120 6 p.Research output: Contribution to journal › Article › Research › peer-review
11 Citations (Scopus) -
The impact of correlated metrics on the interpretation of defect models
Jiarpakdee, J., Tantithamthavorn, C. & Hassan, A. E., 10 Jan 2021, In: IEEE Transactions on Software Engineering. 47, 2, p. 320-331 12 p.Research output: Contribution to journal › Article › Research › peer-review
32 Citations (Scopus) -
2020
The impact of automated feature selection techniques on the interpretation of defect models
Jiarpakdee, J., Tantithamthavorn, C. & Treude, C., 1 Aug 2020, In: Empirical Software Engineering. 25, p. 3590–3638 49 p.Research output: Contribution to journal › Article › Research › peer-review
29 Citations (Scopus) -
2019
The impact of class rebalancing techniques on the performance and interpretation of defect prediction models
Tantithamthavorn, C., Hassan, A. E. & Matsumoto, K., 1 Nov 2019, In: IEEE Transactions on Software Engineering. 26, 11, p. 1200-1219 22 p.Research output: Contribution to journal › Article › Research › peer-review
112 Citations (Scopus)