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Merges #735
Closes #735
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sduenas authored Feb 14, 2025
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* 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](https://doi.org/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

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