misc.bib

@article{ma2016crowdsourcing,
  title = {Crowdsourcing the discovery of software repositories in an educational environment},
  author = {Ma, Yuxing and Dey, Tapajit and Smith, Jarred M and Wilder, Nathan and Mockus, Audris},
  journal = {PeerJ Preprints},
  volume = {4},
  pages = {e2551v1},
  year = {2016},
  url = {https://peerj.com/preprints/2551.pdf}
}

@article{dey2018matching,
  title = {A matching based theoretical framework for estimating probability of causation},
  author = {Dey, Tapajit and Mockus, Audris},
  journal = {arXiv preprint arXiv:1808.04139},
  year = {2018},
  url = {https://arxiv.org/pdf/1808.04139}
}

@article{dey2020pull,
  title = {Which Pull Requests Get Accepted and Why? A study of popular NPM Packages},
  author = {Dey, Tapajit and Mockus, Audris},
  journal = {arXiv preprint arXiv:2003.01153},
  year = {2020},
  url = {https://arxiv.org/pdf/2003.01153}
}

@misc{dey2020datasetBOT,
  title = {A dataset of Bot Commits.(Jan. 2020)},
  author = {Dey, Tapajit and Mousavi, Sara and Ponce, Eduardo and Fry, Tanner and Vasilescu, Bogdan and Filippova, Anna and Mockus, Audris},
  year = {2020},
  url = {https://doi.org/10.5281/zenodo.3610205}
}

@misc{dey2020mapping,
  title = {A mapping between Bot Commit, Projects, Files, and Blobs},
  author = {Dey, Tapajit and Vasilescu, Bogdan and Mockus, Audris},
  url = {https://doi.org/10.5281/zenodo.3699664},
  year = {2020}
}

@misc{dey2020datasetPR,
  title = {A Dataset of Pull Requests and A Trained Random Forest Model for predicting Pull Request Acceptance.(May 2020)},
  author = {Dey, Tapajit and Mockus, Audris},
  year = {2020},
  url = {https://doi.org/10.5281/zenodo.3858032}
}

@inproceedings{dey2021replication,
  title = {Replication package for representation of developer expertise in open source software},
  author = {Dey, Tapajit and Karnauch, Andrey and Mockus, Audris},
  booktitle = {2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)},
  pages = {236--237},
  year = {2021},
  organization = {IEEE},
  url = {https://doi.org/10.5281/zenodo.4457107}
}

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