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CHESS: a model-driven engineering tool environment for aiding the development of complex industrial systems

Published:03 September 2012Publication History

ABSTRACT

Modern software systems require advanced design support especially capable of mastering rising complexity, as well as of automating as many development tasks as possible. Model-Driven Engineering (MDE) is earning consideration as a solid response to those challenges on account of its support for abstraction and domain specialisation. However, MDE adoption often shatters industrial practice because its novelty opposes the need to preserve vast legacy and to not disband the skills matured in pre-MDE or alternative development solutions. This work presents the CHESS tool environment, a novel approach for cross-domain modelling of industrial complex systems. It leverages on UML profiling and separation of concerns realised through the specification of well-defined design views, each of which addresses a particular aspect of the problem. In this way, extra-functional, functional, and deployment descriptions of the system can be given in a focused manner, avoiding issues pertaining to distinct concerns to interfere with one another.

References

  1. M. Short. Development guidelines for dependable real-time embedded systems. In Computer Systems and Applications: AICCSA’08 , pages 1032–1039, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. S. Kent. Model driven engineering. In Proceedings of IFM’02 , pages 286–298. Springer-Verlag, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. Bézivin. On the Unification Power of Models. Software and System Modeling , 4(2):171–188, 2005.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. R. Eramo, A. Pierantonio, J.R. Romero, and A. Vallecillo. Change Management in Multi-Viewpoint System Using ASP. In EDOCW, pages 433–440, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. P. Mohagheghi, M. A. Fernandez, J. A. Martell, M. Fritzsche, and W. Gilani. MDE Adoption in Industry: Challenges and Success Criteria. In Models in Software Engineering , pages 54–59. 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. E. W. Dijkstra. On the role of scientific thought. In Selected writings on Computing: A Personal Perspective , pages 60–66. Springer-Verlag, 1982.Google ScholarGoogle ScholarCross RefCross Ref
  7. IEEE. Recommended Practice for Architectural Description of Software-Intensive Systems. IEEE Std 1471-2000, 2000.Google ScholarGoogle Scholar
  8. J.M. Nahman. Dependability of Engineering Systems: Modeling and Evaluation . Eng. Online Lib. 2002.Google ScholarGoogle ScholarCross RefCross Ref
  9. B. Gallina and S. Punnekkat. Fi4fa: A formalism for incompletion, inconsistency, interference and impermanence failures analysis. In DANCE at SEAA, pages 493–500, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. M. Bordin, M. Panunzio, and T. Vardanega. Fitting Schedulability Analysis Theory into Model-Driven Engineering. In ECRTS, pages 135–144, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      ASE '12: Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
      September 2012
      409 pages
      ISBN:9781450312042
      DOI:10.1145/2351676

      Copyright © 2012 ACM

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      New York, NY, United States

      Publication History

      • Published: 3 September 2012

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