Data augmentation for Multi-Classification of Non-Functional Requirements - Dataset

  1. Limaylla-Lunarejo, María-Isabel 1
  2. Condori-Fernandez, Nelly 2
  3. R. Luaces, Miguel 1
  1. 1 Universidade da Coruña
    info

    Universidade da Coruña

    La Coruña, España

    ROR https://ror.org/01qckj285

  2. 2 Universidade de Santiago de Compostela
    info

    Universidade de Santiago de Compostela

    Santiago de Compostela, España

    ROR https://ror.org/030eybx10

Editor: Zenodo

Ano de publicación: 2024

Tipo: Dataset

DOI: 10.5281/ZENODO.10805331 lock_openAcceso aberto editor

Resumo

There are four datasets: 1.Dataset_structure indicates the structure of the datasets, such as column name, type, and value. 2. Spanish_promise_exp_nfr_train and Spanish_promise_exp_nfr_test are the non-functional requirements of the Promise_exp[1] dataset translated into the Spanish language. 3. Blanced_promise_exp_nfr_train is the new balanced dataset of Spanish_promise_exp_nfr_train, in which the Data Augmentation technique with chatGPT was applied to increase the requirements with little data and random undersampling was used to eliminate requirements.