Using ATL Transformation Services in the MDEForge Collaborative Modeling Platform

  • Juri Di Rocco
  • Davide Di Ruscio
  • Alfonso Pierantonio
  • Jesús Sánchez Cuadrado
  • Juan de Lara
  • Esther Guerra
Conference paper

DOI: 10.1007/978-3-319-42064-6_5

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9765)
Cite this paper as:
Di Rocco J., Di Ruscio D., Pierantonio A., Cuadrado J.S., de Lara J., Guerra E. (2016) Using ATL Transformation Services in the MDEForge Collaborative Modeling Platform. In: Van Gorp P., Engels G. (eds) Theory and Practice of Model Transformations. ICMT 2016. Lecture Notes in Computer Science, vol 9765. Springer, Cham

Abstract

In the last years, the increasing complexity of Model-Driven Engineering (MDE) tools and techniques has led to higher demands in terms of computation, interoperability, and configuration management. Harnessing the software-as-a-service (SaaS) paradigm and shifting applications from local, mono-core implementations to cloud-based architectures is key to enhance scalability and flexibility. To this end, we propose MDEForge: an extensible, collaborative modeling platform that provides remote model management facilities and prevents the user from focussing on time-consuming, and less creative procedures. This demo paper illustrates the extensibility of MDEForge by integrating ATL services for the remote execution, automated testing, and static analysis of ATL transformations. The usefulness of their employment under the SaaS paradigm is demonstrated with a case-study showing a wide range of new application possibilities.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Juri Di Rocco
    • 1
  • Davide Di Ruscio
    • 1
  • Alfonso Pierantonio
    • 1
    • 3
  • Jesús Sánchez Cuadrado
    • 2
  • Juan de Lara
    • 2
  • Esther Guerra
    • 2
  1. 1.University of L’AquilaL’AquilaItaly
  2. 2.Universidad Autónoma de MadridMadridSpain
  3. 3.Mälardalen UniversityVästeråsSweden

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