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@@ -141,19 +141,13 @@ This dataset card aims to be a base template for new datasets. It has been gener
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  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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- ## Citation
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  Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi. The Technical Debt Dataset. Proceedings for the 15th Conference on Predictive Models and Data Analytics in Software Engineering. Brazil. 2019.
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  **BibTeX:**
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- [@INPROCEEDINGS{Lenarduzzi2019,
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- author = {Lenarduzzi, Valentina and Saarim{\"a}ki, Nyyti and Taibi, Davide},
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- title = {The Technical Debt Dataset},
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- booktitle={15th Conference on Predictive Models and Data Analytics in Software Engineering},
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- year={2019},
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- month={January},
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- }]
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  **APA:**
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  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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+ ## References
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  Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi. The Technical Debt Dataset. Proceedings for the 15th Conference on Predictive Models and Data Analytics in Software Engineering. Brazil. 2019.
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  **BibTeX:**
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+ [More Information Needed]
 
 
 
 
 
 
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  **APA:**
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