Estimación del esfuerzo de proyectos de software con algoritmos de aprendizaje de máquinas
DOI:
https://doi.org/10.32870/recibe.v8i1.134Palabras clave:
estimación de software, aprendizaje de máquinas, modelos de estimación, algoritmos de regresión, tamaño funcionalResumen
La estimación del esfuerzo de proyectos de software es el proceso de predecir el esfuerzo requerido para desarrollar o mantener un sistema de software. Desarrollar modelos de estimación y técnicas apropiadas es fundamental para evitar pérdidas causadas por una estimación deficiente, donde se termina invirtiendo más esfuerzo del estimado.La precisión y confiabilidad de las estimaciones desempeñan un papel muy importante en la gestión de proyectos, ya que permiten un monitoreo y control factible para garantizar que los proyectos se terminarán de acuerdo a lo planeado.Este documento presenta una comparación entre modelos de estimación tradicionales basados en modelos estadísticos y modelos generados a partir de algoritmos de regresión de aprendizaje de máquinas.Citas
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