• DocumentCode
    3674855
  • Title

    Automatically Bridging UML Profiles to MOF Metamodels

  • Author

    Ivano Malavolta;Henry Muccini;Marco Sebastiani

  • Author_Institution
    Gran Sasso Sci. Inst., L´Aquila, Italy
  • fYear
    2015
  • Firstpage
    259
  • Lastpage
    266
  • Abstract
    In Model-Driven Engineering, UML profiles and MOF-based Domain Specific Modeling Languages (DSMLs) are the most used approaches for describing domain specific applications. The choice of the right approach depends on several aspects, such as tool support, expressivity, complexity of models, company policies. In general, profiled UML models are very much used since they are intuitive for designers and model editors already exist, however they are intrinsically complex for model manipulation (e.g., Transformation, analysis), conversely, domain specific models are more concise and easy to be manipulated, but they require an initial effort in terms of designers training and model editors development. In this paper we propose an approach that allows getting the best of the two worlds: on one side designers can use UML profiles familiar to them, on the other side DSML models (automatically generated from profiled UML models) enable a better model manipulation. Our approach is based on an automatic bridge between UML profiles and MOF metamodels (which are the main artifacts of MOF-based DSMLs). The bridge is transparent to the user since it autonomously operates both on UML profiles and all the involved models. The bridge is realized through model transformation techniques in the Eclipse platform. In this paper we show its application on a case study based on SysML.
  • Keywords
    "Unified modeling language","Bridges","Analytical models","Metamodeling","Adaptation models","Complexity theory"
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Advanced Applications (SEAA), 2015 41st Euromicro Conference on
  • ISSN
    1089-6503
  • Electronic_ISBN
    2376-9505
  • Type

    conf

  • DOI
    10.1109/SEAA.2015.64
  • Filename
    7302461