GitLab-EffortMiner: Un framework para la extracción de datos de entornos DevOps para la estimación de esfuerzo
DOI:
https://doi.org/10.36825/RITI.14.35.002Palabras clave:
Ágiles, Estimación de Esfuerzo, Historias de Usuario, Ingeniería de Software, RepositorioResumen
La estimación de esfuerzo en proyectos de software es una actividad fundamental para la planificación, que puede verse afectada por la falta de datos históricos y por la experiencia del equipo. Este artículo presenta un estudio preliminar sobre el desarrollo de un framework para la extracción de información en repositorios de software, orientado a la estimación de esfuerzo en el desarrollo ágil de proyectos. El framework está constituido por procesos para minar la información, transformarla y adaptarla para ajustar la complejidad de los puntos de historia de acuerdo con el método de Generalized Estimation Method. La utilidad de los datos obtenidos por el framework se validó mediante modelos de regresión para la estimación de puntos ajustados, construidos a partir de datos extraídos de 33 proyectos de código abierto provenientes de User Story NeoDataset. Los resultados experimentales indican que la información obtenida por el framework es de utilidad para estimar el esfuerzo.
Citas
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