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ShareScore release 0.9.0
Dataset results
3 results for “non-functional classification, dataset, Spanish”
ReSpaN - Spanish Dataset for non-functional requirements classification
<p>The ReSpaN (Spanish Dataset for non-functional requirements classification) dataset is conformed by requirements collected from final degree projects from one University. Manual labeling was performed by 7 annotators in such a way that each requirement had at least three labels. The labels were the categories and subcategories of the ISO/IEC 25010 quality model. The definitions of each category and subcategory are available at https://iso25000.com/index.php/normas-iso-25000/iso-25010, in both Spanish and English. The label ’No agreement’ was used for requirements with no majority in the labeling process. The final classification of each requirement is based on unanimity or majority. This dataset was created following the FAIR principles. </p> <p>Cited as:</p> <p>Maria-Isabel Limaylla-Lunarejo, Nelly Condori-Fernandez, and Miguel R. Luaces. 2023. Towards a FAIR Dataset for non-functional requirements. In Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing (SAC '23). Association for Computing Machinery, New York, NY, USA, 1414–1421. https://doi.org/10.1145/3555776.3578611</p>
Spanish Dataset for non-functional requirements classification
<p>This dataset is conformed by requirements collected from final degree projects from one University. Manual labeling was performed by 7 annotators in such a way that each requirement had at least 3 labels. The labels were the categories and subcategories of the ISO/IEC 25010 quality model. The label ’No agreement’ was used for requirements with no majority in the labeling process. The final classification of each requirement is based on unanimity or majority. This dataset was created following the FAIR principles.</p>
Spanish Dataset for non-functional requirements classification
<p>NFR Spanish dataset is conformed by requirements collected from final degree projects from one University. Manual labeling was performed by 7 annotators in such a way that each requirement had at least 3 labels. The labels were the categories and subcategories of the ISO/IEC 25010 quality model. The label ’No agreement’ was used for requirements with no majority in the labeling process. The final classification of each requirement is based on unanimity or majority. This dataset was created following the FAIR principles. </p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
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OpenNeuro
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