Skip to main content

Multi Back-Ends for a Model Library Abstraction Layer

  • Conference paper
  • 2426 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7973))

Abstract

Software development is moving in the direction of modeling as do quite a lot of other IT related tasks. This means, models become more and more important either as a means of communication or as parts of realizations. Unfortunately, these models are rarely reused which might be due to poor tool support.

A model recommender system is one possible way out, but it bases on high quality data which is most likely stored in a database and needs to blend into an environment. Hence, approaching model recommendations in a model driven way and generating the underlying data store which makes do with an existing infrastructure is desirable. In this paper we describe the underlying model and the obstacles we had to overcome to make this approach work for relational and non relational databases.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Mens, T., Cadenhead, T.: Supporting disciplined reuse and evolution of UML models. In: Bézivin, J., Muller, P.-A. (eds.) UML 1998. LNCS, vol. 1618, pp. 378–392. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  2. Lucrdio, D., de M. Fortes, R., Whittle, J.: MOOGLE: a metamodel-based model search engine. Software and Systems Modeling 11, 183–208 (2010)

    Google Scholar 

  3. France, R., Bieman, J., Cheng, B.H.C.: Repository for Model Driven Development (ReMoDD). In: Kühne, T. (ed.) MoDELS 2006. LNCS, vol. 4364, pp. 311–317. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  4. Koegel, M., Helming, J.: EMFStore: A model repository for EMF models. In: ACM/IEEE 32nd International Conference on Software Engineering (2010)

    Google Scholar 

  5. Altmanninger, K., Kusel, A., Retschitzegger, W., Seidl, M., Wimmer, M.: AMOR Towards Adaptable Model Versioning (2008), http://www.modelversioning.org

  6. Altmanninger, K.: Models in Conflict – Towards a Semantically Enhanced Version Control System for Models. In: Giese, H. (ed.) MODELS 2008. LNCS, vol. 5002, pp. 293–304. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  7. Kappel, G., G.K.: ModelCVS - A Semantic Infrastructure for Model-based Tool Integration. Technical Report, Johannes Kepler University of Linz and Vienna University of Technology. (2005)

    Google Scholar 

  8. Uni-Leipzig: Eclipse Model Repository., http://modelrepository.sourceforge.net/

  9. Tinkerpop: Blueprints API (2013), https://github.com/tinkerpop/blueprints/

  10. Hillairet, G.: Blueprints EMF (2013), https://github.com/ghillairet/blueprints-emf

  11. Steinberg, D., Budinsky, F., Paternostro, M., Merks, E.: EMF: Eclipse Modeling Framework 2.0, 2nd edn. Addison-Wesley Professional (2009)

    Google Scholar 

  12. Barry, D., Stanienda, T.: Solving the java object storage problem. Computer 31(11), 33–40 (1998)

    Article  Google Scholar 

  13. Jo4neo: Jo4neo (2009), http://code.google.com/p/jo4neo/

  14. Neo Technology: Neo4J (2013), http://neo4j.org/

  15. OX:OX (May 2009), http://ox.gluu.org/doku.php

  16. OASIS: Oasis members collaborate on ’dataweb’ standard for exchange of machine-readable information (2004)

    Google Scholar 

  17. Ganser, A., Lichter, H.: Engineering model recommender foundations - from class completion to model recommendations. In: Proceedings of the 1st International Conference on Model-Driven Engineering and Software Development, Modelsward 2013. SCITEPRESS (2013)

    Google Scholar 

  18. Haerder, T., Reuter, A.: Principles of transaction-oriented database recovery. ACM Comput. Surv. 15(4), 287–317 (1983)

    Article  MathSciNet  Google Scholar 

  19. Tinkerpop: Rexster (2013), https://github.com/tinkerpop/rexster

  20. Martin, J.: Managing the data-base environment. Prentice-Hall (1983)

    Google Scholar 

  21. Ganser, A.: Reusing Domain Engineered Artifacts for Code Generation, https://www2.swc.rwth-aachen.de/?p=35

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tran, N.V., Ganser, A., Lichter, H. (2013). Multi Back-Ends for a Model Library Abstraction Layer. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39646-5_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-39646-5_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39645-8

  • Online ISBN: 978-3-642-39646-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics