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Conversión de esquemas preconceptuales a diagrama de casos de uso empleando atom3

Authors: CARLOS M. ZAPATA J; PAULA A. TAMAYO O; FERNANDO ARANGO I;

Conversión de esquemas preconceptuales a diagrama de casos de uso empleando atom3

Abstract

El diagrama de casos de uso describe las interacciones entre un usuario y una pieza de software. Se han realizado algunos trabajos que buscan la generación automática o semiautomática del diagrama de casos de uso desde descripciones en lenguajes naturales o controlados. Sin embargo, estos esfuerzos no han sido suficientes porque algunos parten de un lenguaje controlado orientado a la solución, la cual no existe en las etapas iniciales del ciclo de vida del software; otros trabajos requieren una alta intervención del analista para la generación del diagrama, lo cual es altamente inconveniente si se trata de automatizar el proceso; finalmente, no se identifican todos los elementos del diagrama de casos de uso, en particular las relaciones especiales (>, > e >). En este artículo se define un método basado en reglas heurísticas que permite identificar los actores, los casos de uso y las relaciones especiales del diagrama de casos de uso, tomando como punto de partida una representación en lenguaje controlado del dominio del problema: los denominados esquemas preconceptuales. Además, se realiza la implementación de estas heurísticas en la herramienta metaCASE AToM3 y se ejemplifica con un caso de estudio

Keywords

Technology, Mining engineering. Metallurgy, T, TN1-997

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average