Modelos de Elicitación de Requisitos Basados en Metodologías Ágiles: Una Revisión Sistemática de la Literatura
Resumen
En este estudio se realiza una Revisión Sistemática de la Literatura (RSL) centrada en los modelos de elicitación de requisitos basados en metodologías ágiles. El objetivo es identificar patrones, prácticas exitosas y desafíos asociados a la elicitación de requisitos en entornos ágiles. La identificación y comprensión precisa de los requerimientos del sistema resulta crucial en el proceso de desarrollo de software, y en este panorama, la Elicitación de Requisitos (ER) desempeña un papel fundamental en este proceso. Las Metodologías Ágiles (MA), como Scrum, se han vuelto populares debido a su enfoque en la colaboración, entrega temprana y adaptabilidad a los cambios, ofreciendo ventajas significativas, como retroalimentación continua, la colaboración estrecha con los stakeholders y un enfoque orientado al valor de negocio. A pesar de la importancia de una ER adecuada, la tasa de éxito promedio de los proyectos de software sigue siendo baja. Los hallazgos derivados del análisis de frameworks y modelos para la ER basados en MA revelan un enfoque productivo en el uso de Scrum y procesos similares para gestionar de manera iterativa y colaborativa los requisitos del sistema. La integración de documentos de requisitos conjuntos (JRD) con Scrum destaca como una práctica común para mejorar la calidad y la colaboración. Además, se observa una adaptabilidad significativa relacionado a proyectos aplicando Big Data. La diversidad de modelos, desde Requirements Engineering for Software Architecture (RE4SA) hasta enfoques semiautomáticos para Requisitos de Calidad, destaca la variedad de estrategias para mejorar la eficacia de la ER en contextos ágiles. La validación práctica en entornos reales refuerza la aplicabilidad de estos enfoques. Estos hallazgos ofrecen percepciones valiosas para la mejora continua de la ER en el desarrollo ágil de software.
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Derechos de autor 2024 Anderson Ruiz Rojas, Yudi Guzmán Monteza
Esta obra está bajo licencia internacional Creative Commons Reconocimiento 4.0.
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