• DocumentCode
    713909
  • Title

    Modelling language quality evaluation in model-driven information systems engineering: A roadmap

  • Author

    Giraldo, Faber D. ; Espana, Sergio ; Giraldo, William J. ; Pastor, Oscar

  • Author_Institution
    Syst. & Comput. Eng., Univ. of Quindio, Armenia, Colombia
  • fYear
    2015
  • fDate
    13-15 May 2015
  • Firstpage
    64
  • Lastpage
    69
  • Abstract
    [Context and motivation] The Model-Driven Engineering (MDE) paradigm remains an active niche in information systems engineering and research. Given their primary role, assuring the quality of models and modelling languages is crucial. In a previous literature review, we have confirmed that there exist different conceptions on model and modelling language quality. [Question/problem] Also, many approaches tackle a narrow perspective and practitioners often feel that such practices burden them with extra effort. A wider overview of the field is needed, taking into account the constraining and pressing conditions of industrial practice. [Principal ideas/results] This paper recalls the essence of, current trends and pitfalls of modelling language quality evaluation within MDE. Some of the current unsolved issues are related to a growing system complexity, evaluating the quality of a complementary set of languages, the need to bring model transformations in the picture, etc. [Contribution] Through this evaluation work, we define a research agenda that reveals the main challenges in modelling language quality evaluation in the context of MDE.
  • Keywords
    information systems; MDE; model-driven information systems engineering; modelling language quality evaluation; quality evaluation; system complexity; Analytical models; Context; Context modeling; Information systems; Measurement; Unified modeling language; Model-Driven Engineering; Modelling language quality; model quality evaluation issues; open challenges; research roadmap;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research Challenges in Information Science (RCIS), 2015 IEEE 9th International Conference on
  • Conference_Location
    Athens
  • Type

    conf

  • DOI
    10.1109/RCIS.2015.7128864
  • Filename
    7128864