NeoDataset - Um conjunto de dados com User Stories e Story Points

Autores/as

Giseldo da Silva Neo Instituto Federal de Alagoas https://orcid.org/0000-0001-5574-9260
Alana Viana Borges da Silva Neo Instituto Federal do Mato Grosso do Sul https://orcid.org/0009-0000-1910-1598
Kleber Jose Araujo Galvao Filho Universidade Federal de Alagoas https://orcid.org/0009-0001-1591-0272
Jose Antão Beltrão Moura Universidade Federal de Campina Grande https://orcid.org/0000-0002-6393-5722
Olival de Gusmão Freitas Junior Universidade Federal de Alagoas https://orcid.org/0000-0003-4418-8386

DOI:

https://doi.org/10.51359/2317-0115.2024.265431

Palabras clave:

user story, story points, conjunto de dados, agil, linguagem natural

Resumen

As equipes geralmente utilizam ferramentas de gerenciamento para acompanhar as User Stories, controlar o seu código-fonte, registrar suas estimativas de esforço e os responsáveis. Essas ferramentas registram dados que podem ser utilizados em diversas pesquisas. Por outro lado, é desafiador encontrar dados para pesquisas, pois as empresas privadas são relutantes em compartilhá-los. O objetivo deste artigo é apresentar um conjunto de dados contendo dados brutos de 33 Projetos de Software Ágil de código aberto, minerados do GitLab, totalizando 122.627 Story Points e 20.474 User Stories. Disponibilizamos esses dados publicamente para facilitar o seu uso pela comunidade científica. Acreditamos que esse conjunto pode ser utilizado em várias linhas de pesquisa de engenharia de software, incluindo classificação e vetorização de texto, aprendizagem de máquina, estimativa de esforço e priorização de tarefas.

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