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./code/candidate_dups
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README\.html
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*.pyc
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code/candidate_dups/
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\.DS_Store
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MIT License
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Copyright (c) 2017 StarLee
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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### English description of the fields in ``pullreq.sql``：
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- `repo_slug`: The slug of the project (`user_name/repository_name`), which can compose the homepage URL of the project with a heading string `https://github.com/`.
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- `pr_num`: The tracking number of the pull request.
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- `pr_info`: A Json object obtained via GitHub API, which contains the basic information of the pull request. The commonly used attributes can be directly parsed from this object, *e.g.*, one can get the pull request title by calling `json_obj["title"]`. More information demanded in specific context can be requested from the hyperlink value of the corresponding field, *e.g.*,
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one can get the review comments of a pull request from `json[review_comments_url]`.
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### 文件``pullreq.sql``中字段的中文描述：
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- `repo_slug`: pull request所属项目的标识（`用户名/仓库名`）。
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- `pr_num`: pull request在项目追踪系统中的编号。
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- `pr_info`: 这是使用GitHub API采集获得的json对象，包含了pull request的基本信息。一些常用的信息可以直接从该对象解析，例如pull request 的标题可以通过`json_obj["title"]`获取。其它的信息需求可以通过字段所对应的链接进行二次采集，例如可以通过`json[review_comments_url]`获取pull request的审查评论。
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[中文](readme_zh.md)
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## The *DupPR* dataset
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### About this dataset
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This dataset includes a list of ***accidentally duplicate*** pull requests collected from GitHub, which can be seen in [dup_prs.md](dup_prs.md). The readily-avaialbe information of these pull requests can be found in [pullreq_info](pullreq_info).
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### How can I help?
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You would be appreciated if you can open an issue/pull-request to
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- add new duplicates you have found
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- point out the errors in the dataset
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Attention: please do not submit duplicate issue/pull-request :)
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### How can I cite this work?
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```
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@inproceedings{yu2018dataset,
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title={A dataset of duplicate pull-requests in github},
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author={Yu, Yue and Li, Zhixing and Yin, Gang and Wang, Tao and Wang, Huaimin},
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booktitle={Proceedings of the 15th International Conference on Mining Software Repositories},
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pages={22--25},
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year={2018}
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}
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```
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### Papers using this dataset
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- Li, Z., Yu, Y., Zhou, M., Wang, T., Yin, G., Lan, L, & Wang, H.Redundancy, Context, and Preference: An Empirical Study of Duplicate Pull Requests in OSS Projects. (2020). *IEEE Transactions on Software Engineering* (TSE). [PDF]()
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- Wang, Q., Xu, B., Xia, X., Wang, T., & Li, S. (2019, October). Duplicate Pull Request Detection: When Time Matters. In *Proceedings of the 11th Asia-Pacific Symposium on Internetware* (pp. 1-10).
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- Zhou, S., Vasilescu, B., & Kästner, C. (2019, August). What the fork: a study of inefficient and efficient forking practices in social coding. In *Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering* (ESEC/FSE) (pp. 350-361).
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- Ren, L., Zhou, S., Kästner, C., & Wąsowski, A. (2019, February). Identifying redundancies in fork-based development. In *Proceedings 2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering* (SANER) (pp. 230-241). IEEE.
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- Li, Z., Yu, Y., Wang, T., Yin, G., Mao, X., & Wang, H. (2019). Detecting Duplicate Contributions in Pull-based Model Combining Textual and Change Similarities. *Journal of Computer Science and Technology*. [PDF]()
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- Li, Z., Yin, G., Yu, Y., Wang, T., & Wang, H. (2017, September). Detecting duplicate pull-requests in github. In *Proceedings of the 9th Asia-Pacific Symposium on Internetware* (pp. 1-6). [PDF]()
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[English](readme.md)
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## *DupPR* 数据集
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### 关于数据集
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本数据集包含了开发者在GitHub平台上 ***非故意提交*** 的重复Pull-request，具体数据参见[dup_prs.md](dup_prs.md).
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### 帮助我们
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非常欢迎大家帮助我们一起完善此数据集，你可以通过提交Issue或者Pull-request来：
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- 添加你新发现的重复pull-request
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- 指出此数据集中所包含的错误数据
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注意： 请不要提交重复issue/pull-request :)
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### 引用此数据集
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```
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@inproceedings{yu2018dataset,
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title={A dataset of duplicate pull-requests in github},
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author={Yu, Yue and Li, Zhixing and Yin, Gang and Wang, Tao and Wang, Huaimin},
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booktitle={Proceedings of the 15th International Conference on Mining Software Repositories},
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pages={22--25},
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year={2018}
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}
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```
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### 使用了此数据集的研究
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- Li, Z., Yu, Y., Zhou, M., Wang, T., Yin, G., Lan, L, & Wang, H.Redundancy, Context, and Preference: An Empirical Study of Duplicate Pull Requests in OSS Projects. (2020). *IEEE Transactions on Software Engineering* (TSE)
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- Wang, Q., Xu, B., Xia, X., Wang, T., & Li, S. (2019, October). Duplicate Pull Request Detection: When Time Matters. In *Proceedings of the 11th Asia-Pacific Symposium on Internetware* (pp. 1-10).
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- Zhou, S., Vasilescu, B., & Kästner, C. (2019, August). What the fork: a study of inefficient and efficient forking practices in social coding. In *Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering* (ESEC/FSE) (pp. 350-361).
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- Ren, L., Zhou, S., Kästner, C., & Wąsowski, A. (2019, February). Identifying redundancies in fork-based development. In *Proceedings 2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering* (SANER) (pp. 230-241). IEEE.
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- Li, Z., Yu, Y., Wang, T., Yin, G., Mao, X., & Wang, H. (2019). Detecting Duplicate Contributions in Pull-based Model Combining Textual and Change Similarities. *Journal of Computer Science and Technology*.
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- Li, Z., Yin, G., Yu, Y., Wang, T., & Wang, H. (2017, September). Detecting duplicate pull-requests in github. In *Proceedings of the 9th Asia-Pacific Symposium on Internetware* (pp. 1-6).
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