A practical application of Relational Concept Analysis to class model factorization: lessons learned from a thematic information system
2013
Osman Guédi, Abdoulkader | Miralles, André | Huchard, Marianne | Nebut, Clémentine | Université de Djibouti | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS) | Models And Reuse Engineering, Languages (MAREL) ; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
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Show more [+] Less [-]English. During the design of class models for information systems, databases or programming, experts of the domain and designers discuss to identify and agree on the domain concepts. Formal Concept Analysis (FCA) and Relational Concept Analysis (RCA) have been proposed, for fostering the emergence of higher level domain concepts and relations, while factorizing descriptions and behaviors. The risk of these methods is overwhelming the designer with too many concepts to be analyzed. In this paper, we systematically study a practical application of RCA on several versions of a real class model for an information system in order to give precise gures about RCA and to identify which congurations are tractable.
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