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1 to 10 of 22 Results
CabbagePests.tab
8 août 2025 - Dataset on pesticidal plants for the control of cabbage pests
Tabular Data - 77,9 KB - 14 Variables, 454 Observations - UNF:6:Qz83X9pXZIqqGdR2QFCfgA==
Dataset
ReadMe.pdf
ReadMe.pdf
8 août 2025 - Dataset on pesticidal plants for the control of cabbage pests
Adobe PDF - 154,5 KB - MD5: ecf9081b78184e7455ec638a2fb308f6
Description of the dataset
InputDatasetCaseStudy.tar.gz
7 févr. 2025 - Dataset used to generate Variability-Driven User-Story using LLM and Triadic Concept Analysis
Gzip Archive - 32,8 KB - MD5: 010b0a8b8d746a934b59a9c4f34a7ecb
InputDatasetSmallExample.tar.gz
7 févr. 2025 - Dataset used to generate Variability-Driven User-Story using LLM and Triadic Concept Analysis
Gzip Archive - 1,0 KB - MD5: d68afcc7af4c2292883323b41ea66fcd
Output.tar.gz
7 févr. 2025 - Dataset used to generate Variability-Driven User-Story using LLM and Triadic Concept Analysis
Gzip Archive - 49,5 KB - MD5: ab7eeae59357b5d7101cd6c2e011c6ce
README.md
7 févr. 2025 - Dataset used to generate Variability-Driven User-Story using LLM and Triadic Concept Analysis
Markdown Text - 226 B - MD5: 5be056f89656dbe809f96c85387f150d
RepositoryDescription.md
7 févr. 2025 - Dataset used to generate Variability-Driven User-Story using LLM and Triadic Concept Analysis
Markdown Text - 2,0 KB - MD5: 173f6fa3aa93fcaa5ddc405d1be177ff
Step1Analysis.tar.gz
7 févr. 2025 - Dataset used to generate Variability-Driven User-Story using LLM and Triadic Concept Analysis
Gzip Archive - 23,1 KB - MD5: 9fa66dddc260ed514e07dfd515ad1ade
Step34Analysis.tar.gz
7 févr. 2025 - Dataset used to generate Variability-Driven User-Story using LLM and Triadic Concept Analysis
Gzip Archive - 29,3 KB - MD5: c1fb132574b70debcfe7413672ef98ce
ParticipantsRawDatasetCreation.pdf
ParticipantsRawDatasetCreation.pdf
7 mars 2024 - Dataset on Websites’ User-Stories and the exploration of their the 3-Dimensional Variability using Triadic Concept Analysis
Adobe PDF - 26,2 KB - MD5: 8a8e9fcf407f2aa1eac38e5a236e7756
List of people that have contribute to build the raw data of the user stories
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