Modelo Ontológico para Contextos de uso de Herramientas de Ingeniería Inversa

Abstract

An ontological model to select the most appropriate reverse engineering tools for a specific context of use is presented. The ontological model was developed using the methodology of Stanford University, established by Noy and McGuinness and was validated with 38 reverse engineering tools. The ontology was implemented with the Protege tool and 32 determinant characteristics were identified to describe the contexts of use of reverse engineering tools, discriminating those conditions that are necessary and desired for each context of use. It is concluded that the proposed ontological model facilitates the selection of reverse engineering tools for a particular context of use and contributes to lowering the costs of software maintenance, by reducing efforts and optimizing processes.