• DocumentCode
    2617710
  • Title

    A unifying framework for the definition of syntactic measures over conceptual schema diagrams

  • Author

    Costal, Dolors ; Franch, Xavier

  • Author_Institution
    Univ. Politec. de Catalunya (UPC), Barcelona, Spain
  • fYear
    2012
  • fDate
    16-18 May 2012
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    There are many approaches that propose the use of measures for assessing the quality of conceptual schemas. Many of these measures focus purely on the syntactic aspects of the conceptual schema diagrams, e.g. their size, their shape, etc. Similarities among different measures may be found both at the intra-model level (i.e., several measures over the same type of diagram are defined following the same layout) and at the intermodel level (i.e., measures over different types of diagrams are similar considering an appropriate metaschema correspondence). In this paper we analyse these similarities for a particular family of diagrams used in conceptual modelling, those that can be ultimately seen as a combination of nodes and edges of different types. We propose a unifying measuring framework for this family to facilitate the measure definition process and illustrate its application on a particular type, namely business process diagrams.
  • Keywords
    business data processing; software metrics; software quality; business process diagrams; conceptual modelling; conceptual schema diagram; conceptual schema quality assessment; inter-model level similarity; intra-model level similarity; meta schema; syntactic measures; unifying measuring framework; Atmospheric measurements; Context; Particle measurements; Proposals; Software measurement; Unified modeling language; MOF; conceptual schema diagram; conceptual schema measure; metamodelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research Challenges in Information Science (RCIS), 2012 Sixth International Conference on
  • Conference_Location
    Valencia
  • ISSN
    2151-1349
  • Print_ISBN
    978-1-4577-1936-3
  • Electronic_ISBN
    2151-1349
  • Type

    conf

  • DOI
    10.1109/RCIS.2012.6240423
  • Filename
    6240423