Kydlaw / Issues-dataset

Datasets

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.

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There are three groups of datasets according to the dataset's characteristics.

• agile sprints

  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

• delay issues

  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.

• story points

  These are the datasets on the story point estimation. We provide the datasets and the models from our work on a deep learning model for estimating story points which we published in IEEE TSE.

You can also find preprints in the folders.

Visit our homepage for more informaiton SEA@UOW

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bib

• IEEE TSE2018: A deep learning model for estimating story points

[1] M. Choetkiertikul, H. K. Dam, T. Tran, T. T. M. Pham, A. Ghose, and T. Menzies, “A deep learning model for estimating story points,” IEEE Trans. Softw. Eng., vol. PP, no. 99, p. 1, 2018.

@article{Choetkiertikul2018,
author = {Choetkiertikul, M and Dam, H K and Tran, T and Pham, T T M and Ghose, A and Menzies, T},
doi = {10.1109/TSE.2018.2792473},
issn = {0098-5589 VO  - PP},
journal = {IEEE Transactions on Software Engineering},
keywords = {Estimation,Machine learning,Planning,Predictive models,Software,Springs,deep learning,effort estimation,software analytics,story point estimation},
number = {99},
pages = {1},
title = {{A deep learning model for estimating story points}},
volume = {PP},
year = {2018}
}

• 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}
}

• 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}
}

• 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}
}

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