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av9ash/GitBugs

GitBugs https://github.com/av9ash/gitbugs/ License and Citation This project is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.Any use or reuse of this work please cite the following: @article{patil2025gitbugs, title={GitBugs: Bug Reports for Duplicate Detection, Retrieval Augmented Generation, Triage, and More}, author={Patil, Avinash}, journal={arXiv preprint arXiv:2504.09651}, year={2025} } For more details on… See the full description on the dataset page: https://huggingface.co/datasets/av9ash/GitBugs.

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GitBugs

![DOI](https://doi.org/10.48550/arXiv.2504.09651)

https://github.com/av9ash/gitbugs/

License and Citation

This project is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Any use or reuse of this work please cite the following:

@article{patil2025gitbugs,
  title={GitBugs: Bug Reports for Duplicate Detection, Retrieval Augmented Generation, Triage, and More},
  author={Patil, Avinash},
  journal={arXiv preprint arXiv:2504.09651},
  year={2025}
}

For more details on the license, visit CC BY 4.0.

Bug Report Datasets: Bugs from some popular open source projects.

Column Description

Summary: Short description of the issue.

Issue ID: Unique identifier.

Status: The current state of the issue (e.g., Open, Resolved).

Priority: The assigned importance level (e.g., Blocker, Critical).

Resolution: The outcome of the issue (e.g., Fixed, Duplicate). Some values are missing.

Created: The timestamp when the issue was created.

Resolved: The timestamp when the issue was resolved. Many are missing.

Affects Version/s: The Hadoop version(s) impacted by the bug.

Description: A detailed description of the bug. Some values are missing.

ProjectTotal Bug ReportsDuplicates
Cassandra4,612300
Firefox288246255
Hadoop2503128
Hbase5403108
Mozilla Core8567317899
VS Code328299272
Seamonkey1076120
Spark20275497
Thunderbird151924200

More information copied from Logpai/Bugrepo

BugRepo

BugRepo maintains a collection of bug reports that are publicly available for research purposes. Bug reports are a main data source for facilitating NLP-based research in software engineering. We categorize the datasets into the following research directions.

Newer Publications

Previous Publications

2. Bug localization

Bug localization is a process to map a bug report to the corresponding buggy source file. This dataset contains bug reports, commit history, and API descriptions of six open source Java projects including Eclipse Platform UI, SWT, JDT, AspectJ, Birt, and Tomcat. The dataset is currently available here.

ProjectTimespan#Bugs mapped
AspectJ2002-03-13 ~ 2014-01-10593
Birt2005-06-14 ~ 2013-12-194,178
Eclipse2001-10-10 ~ 2014-01-176,495
JDT2001-10-10 ~ 2014-01-146,274
SWT2002-02-19 ~ 2014-01-174,151
Tomcat2002-07-06 ~ 2014-01-181,056

Publications

3. Bug triaging

Given a software bug report, bug triaging is the process to identify an appropriate developer who could fix the bug. Automatic bug triaging algorithm can be formulated as a classification problem, which takes the bug title and description as the input, mapping it to one of the available developers (class labels). The dataset is currently available here.

Project\#Bugs\#Bugs for classifier
Chromium383,104118,643
Mozilla Core314,388128,215
Firefox162,30724,214

Publications

4. Bug-fixing time estimation

The bug report datasets hosted in this repository contain detailed information about bug fixing time tracking, which can thus be used for research on bug-fixing time estimation.

Publications

5. Bug information mining

Lamkanfi et al. [MSR'13] contributed a dataset with over 200.000 reported bugs extracted from the Eclipse and Mozilla projects. Besides providing a single snapshot of a bug report, they also include all the incremental modifications as performed during the lifetime of the bug report. The dataset is currently available here.

Project\#Components\#Bugs
Eclipse Platform2224,775
JDT610,814
CDT205,640
GEF55,655
Mozilla Core13774,292
Firefox4769,879
Thunderbird2319,237
Bugzilla214,616

Publications

  • —[MSR'13] Ahmed Lamkanfi and Javier Perez and Serge Demeyer. The Eclipse and Mozilla Defect Tracking Dataset: a Genuine Dataset for Mining Bug Information. International Working Conference on Mining Software Repositories (MSR), 2013.