Agrupamientos en Glosarios del Universo de Discurso

Abstract

During software development, and especially during Requirements Engineering process, models are created with well-defined purposes and structures. These structures have been thought to maximize the model expressiveness in relation to its purpose. Despite this and quite possibly because of this, it may happen that such models contain information not seen during its regular use. In some Requirements Engineering models, written in natural language, it has been noticed that a second reading can allow to recover at least part of that hidden information. In this paper, a strategy is proposed to visualize the existence of clusters of terms in the Language Extended Lexicon. These clusters are deeply linked to semantic groups in the Universe of Discourse being studied. The strategy is based on automatic construction of graphs using the model hypertext links.