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GrimoireLab Adopters

This is the list of organizations and users that have publicly shared how they are using GrimoireLab.

💡 Add your organization by creating a PR

The list of organizations that have publicly shared the usage of GrimoireLab:

Organization Success Story
Universidad Rey Juan Carlos We have contributed to GrimoireLab development, and we are using it intensively for research.
Bitergia We offer a commercial ready-to-use platform, built with GrimoireLab, that gives managers software development analytics for the projects they care about.
The Document Foundation The Document Foundation is hosting its own GrimoireLab dashboard to provide data about the status and evolution of its projects.
Open Infrastructure Foundation Bitergia is the OpenInfra Foundation's official metrics partner. Through that collaboration, the OpenInfra Foundation uses GrimoireLab to follow and visualize the activity, diversity and growth of OpenInfra communities.
The Eclipse Foundation The Eclipse Foundation is using GrimoireLab to provide information and insights about the status and evolution of its open source projects.
The Wikimedia Foundation The GrimoireLab dashboards provided by Bitergia enable the Wikimedia Foundation to gather insights and trends about Wikimedia's technical communities and contributors.
G-Research Open Source Software Program Office GR-OSS uses GrimoireLab's Bitergia dashboards to track and analyze activity within our open source projects and community.
Google Various open source project teams within Google have explored GrimoireLab to monitor community health and collect operational feedback.
FreeBSD Dashboards customized by Bitergia for bug characterization to help with understanding and managing the backlog.
Thunderbird The Thunderbird dashboard is hosted by Bitergia and helps visualize the Thunderbird community.
The Alan Turing Institute The Alan Turing Institute is using GrimoireLab internally to analyse their public GitHub repos and understand usage and contribution patterns and questions around software maintenance and communities.

📜 Add your research papers by creating a PR

The list of papers that have used GrimoireLab or data produced by it:

  • Feitosa, D., Penca, M.-T., Berardi, M., Boza, R.-D., & Andrikopoulos, V. (2024). Mining for cost awareness in the infrastructure as code artifacts of cloud-based applications: An exploratory study. The Journal of Systems and Software, 215(112112), 112112. doi:10.1016/j.jss.2024.112112
  • Taraghi, M., Dorcelus, G., Foundjem, A., Tambon, F., & Khomh, F. (2024, March). Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends. 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 512–523. doi:10.1109/SANER60148.2024.00059 (https://arxiv.org/abs/2401.13177)
  • Gaughan, M., Champion, K., and Hwang, S. (2024). Engineering Formality and Software Risk in Debian Python Packages. In 2024 IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER '24). https://doi.org/10.1109/SANER60148.2024.00108
  • Alami, A., Pardo, R., & Linåker, J. (2024). Free open source communities sustainability: Does it make a difference in software quality?. Empirical Software Engineering, 29(5), 114. https://arxiv.org/pdf/2402.06916
  • Sophia Vargas, Georg Link, and JaYoung Lee. (2024). Estimating Usage of Open Source Projects. In Proceedings of the 21st International Conference on Mining Software Repositories (MSR '24). Association for Computing Machinery, New York, NY, USA, 652–653. https://doi.org/10.1145/3643991.3645066
  • Guizani, M., Feng, Z., Arteaga, E. J., Cañas-Díaz, L., Serebrenik, A., & Sarma, A. (2023). Unveiling Diversity: Empowering OSS Project Leaders with Community Diversity and Turnover Dashboards. doi:10.48550/arXiv.2312.08543
  • Chidambaram, N., & Mazrae, P. R. (2022). Bot detection in GitHub repositories. In Proceedings of the 19th International Conference on Mining Software Repositories in the Hackathon Track. MSR ’22, ACM. doi:10.1145/3524842.3528520. Won the Best Hackathon Paper Award.
  • Dueñas, S., Cosentino, V., Gonzalez-Barahona, J. M., del Castillo, A., Izquierdo-Cortazar, D., Cañas-Díaz, L., Pérez García-Plaza, A. (2021). GrimoireLab: A toolset for software development analytics. doi:10.7717/peerj-cs.601
  • Newton, O. B., & Fiore, S. M. (2023). Leveraging Corporate Engagement for Diversity in Free/Libre and Open Source Software Projects. In 2023 IEEE/ACM 4th Workshop on Gender Equity, Diversity, and Inclusion in Software Engineering (GEICSE) (pp. 41–48). 2023 IEEE/ACM 4th Workshop on Gender Equity, Diversity, and Inclusion in Software Engineering (GEICSE). IEEE. doi: 10.1109/geicse59319.2023.00010
  • Tecimer, K. A., Tüzün, E., Moran, C., & Erdogmus, H. (2022). Cleaning ground truth data in software task assignment. Information and Software Technology, 149, 106956. http://yoksis.bilkent.edu.tr/pdf/files/15973.pdf
  • Tecimer, K. A., Tüzün, E., Dibeklioglu, H., & Erdogmus, H. (2021, June). Detection and elimination of systematic labeling bias in code reviewer recommendation systems. In Proceedings of the 25th International Conference on Evaluation and Assessment in Software Engineering (pp. 181-190). https://www.researchgate.net/profile/Kazim-Tecimer/publication/352106199_Detection_and_Elimination_of_Systematic_Labeling_Bias_in_Code_Reviewer_Recommendation_Systems/links/60b935c9a6fdcc22ead3bcfa/Detection-and-Elimination-of-Systematic-Labeling-Bias-in-Code-Reviewer-Recommendation-Systems.pdf
  • Biazotto, J. P., Feitosa, D., Avgeriou, P., & Nakagawa, E. Y. (2024). Technical debt management automation: State of the art and future perspectives. Information and Software Technology, 167(107375), 107375. doi:10.1016/j.infsof.2023.107375
  • Buchner, S., & Riehle, D. (2023). The Business Impact of Inner Source and How to Quantify It. In ACM Computing Surveys (Vol. 56, Issue 2, pp. 1–27). Association for Computing Machinery (ACM). https://doi.org/10.1145/3611648

Note: we took the idea and format of this file from the Kyverno project. Kudos to them!