SciELO - Scientific Electronic Library Online

 
vol.15 issue29Multi-platform mdsd: beyond the functional viewA GPU-based Evolution Strategy for Optic Disk Detection in Retinal Images author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Ingenierías Universidad de Medellín

Print version ISSN 1692-3324

Abstract

GIRALDO, Fáber D.; ESPANA, Sergio; GIRALDO, William J.  and  PASTOR, Óscar. Modelling languages quality evaluation by taxonomic analysis: a preliminary proposal. Rev. ing. univ. Medellín [online]. 2016, vol.15, n.29, pp.159-172. ISSN 1692-3324.  https://doi.org/10.22395/rium.v15n29a10.

The Model-Driven Engineering (mde) paradigm promotes the usage of conceptual models in information systems (is) engineering and research. As engineering products, conceptual models must have quality, which applies on both conceptual models and modeling language employed to build them. This paper presents a modeling language quality evaluation framework. This framework uses the principles from the popular Zachman framework for information systems as a taxonomic tool applied over mo deling artifacts used in an information system development. The purpose of this taxonomic tool is to perform analytic procedures that are aligned with an is reference architecture and ontological reasoning. Throughout this work, we describe how the Zachman framework supports analytics over modeling languages for quality purposes by its native management of semantics.

Keywords : quality; model-driven engineering; information systems; zachman framework; taxonomy; ontological analysis.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )