We provide the datasets used in our empirical studies and evaluations. The description is provided according to the type of datasets and the associated work.
If you use our dataset, please cite our relevant paper in your publication. The bib is also provided.
There are two groups of datasets according to the dataset's characteristics.
-
These are the datasets on the iterative development (e.g. sprint). Our work on these datasets focuses on predicting delivery capability in iterative development. We published the work in IEEE TSE
-
These are the datasets on the delayed issues. We used these datasets in our work on predicting delayed issues which we published in MSR2015, ASE2015, and in the journal of Empirical Software Engineering.
Visit our homepage for more informaiton SEA@UOW
- MSR2015: Characterization and prediction of issue-related risks in software projects
[1] M. Choetkiertikul, H. K. Dam, T. Tran, and A. Ghose, “Characterization and prediction of issue-related risks in software projects,” in Proceedings of the 12th Working Conference on Mining Software Repositories (MSR), 2015, pp. 280–291.
@inproceedings{Morakot2015,
title = {{Characterization and Prediction of Issue-Related Risks in Software Projects}},
author = {Choetkiertikul, Morakot and Dam, Hoa Khanh and Tran, Truyen and Ghose, Aditya},
booktitle = {Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories (MSR)},
doi = {10.1109/MSR.2015.33},
isbn = {978-0-7695-5594-2},
issn = {21601860},
pages = {280--291},
publisher = {IEEE},
url = {http://ieeexplore.ieee.org/document/7180087/},
year = {2015}
}
- ASE2015: Predicting delays in software projects using networked classification
[1] M. Choetkiertikul, H. K. Dam, T. Tran, and A. Ghose, “Predicting delays in software projects using networked classification,” in Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2015, pp. 353–364.
@inproceedings{Choetkiertikul2015,
title = {{Predicting delays in software projects using networked classification}},
author = {Choetkiertikul, Morakot and Dam, Hoa Khanh and Tran, Truyen and Ghose, Aditya},
booktitle = {Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
doi = {10.1109/ASE.2015.55},
isbn = {9781509000241},
pages = {353--364},
year = {2015}
}
- EMSE2017: Predicting the delay of issues with due dates in software projects
[1] M. Choetkiertikul, H. K. Dam, T. Tran, and A. Ghose, “Predicting the delay of issues with due dates in software projects,” Empir. Softw. Eng., vol. 22, no. 3, pp. 1223–1263, 2017.
@article{Choetkiertikul2017,
title = {{Predicting the delay of issues with due dates in software projects}},
author = {Choetkiertikul, Morakot and Dam, Hoa Khanh and Tran, Truyen and Ghose, Aditya},
doi = {10.1007/s10664-016-9496-7},
issn = {15737616},
journal = {Empirical Software Engineering},
number = {3},
pages = {1223--1263},
publisher = {Empirical Software Engineering},
volume = {22},
year = {2017}
}
- IEEE TSE2017: Predicting Delivery Capability in Iterative Software Development
[1] M. Choetkiertikul, H. K. Dam, T. Tran, A. Ghose, and J. Grundy, “Predicting Delivery Capability in Iterative Software Development,” IEEE Trans. Softw. Eng., vol. 14, no. 8, pp. 1–1, 2017.
@article{Choetkiertikul2017,
title = {{Predicting Delivery Capability in Iterative Software Development}},
author = {Choetkiertikul, Morakot and Dam, Hoa Khanh and Tran, Truyen and Ghose, Aditya and Grundy, John},
doi = {10.1109/TSE.2017.2693989},
issn = {0098-5589},
journal = {IEEE Transactions on Software Engineering},
number = {8},
pages = {1--1},
volume = {14},
year = {2017}
}
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent