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Fritzsche, M; Gilani, Wasif; Spence, Ivor; Kilpatrick, Peter; Brown, John; Bashroush, Rabih (2008)
Publisher: Springer
Languages: English
Types: Part of book or chapter of book
Model Driven Performance Engineering (MDPE)\ud enables early performance feedback in a MDE\ud process, in order to avoid late identification of\ud performance problems which could cause significant\ud additional development costs. In our past work we\ud argued that a synchronization mechanism between\ud development and performance analysis models is\ud required to adequately integrate analysis results into\ud the development process enabling performance related\ud decision support. In this paper we present a solution\ud for this requirement. We present a new multi-view\ud based approach and its implementation enabling\ud systematic performance related decision support. We\ud apply our research on the model driven engineering of\ud process orchestrations on top of SAP’s Enterprise\ud Service Oriented Architecture (Enterprise SOA).
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] Mathias Fritzsche, Jendrik Johannes, “Putting Performance Engineering into Model-Driven Engineering: Model-Driven Performance Engineering”, MoDeVVa'07 at the Model Driven Engineering Languages and Systems, ISBN 2-7261-1294 3, 2007, pp. 77-87, (selected to appear in Springer-Verlag LNCS format).
    • [2] A Dorin B. Petriu, Murray Woodside, “An intermediate metamodel with scenarios and resources”, Software and Systems Modeling, Springer-Verlag, pp. 163-184, 2007.
    • [3] Murray Woodside, Greg Franks, Dorina C. Petriu, “The Future of Software Performance Engineering”, 29th Int. Conference on Software Engineering, IEEE, 2007.
    • [4] Greg Franks, Dorina Petriu, Murray Woodside, Jing Xu, Peter Tregunno, “Layered Bottlenecks and Their Mitigation”, Conference on Quantitative Evaluation of Systems (QUEST), IEEE, 2006.
    • [5] Bézivin, J., Devedži , V., Djuri , D., Favreau, J., Gaševi , D., Jouault, F., “An M3-Neutral infrastructure for bridging model engineering and ontology engineering.”, First International Conference on Interoperability of Enterprise Software and Applications, Springer, 2005, pp. 159-171.
    • [6] Farid Mehr, Ulf Schreier, “Modelling of Message Security Concerns with UML”, 9th International Conference on Enterprise Information Systems, 2007.
    • [7] Farid Mehr, Mathias Fritzsche, Ulf Schreier, “QUAL: A Query and Annotation Language for the UML models of Service-oriented Applications”, submitted to the International Journal of Business Process Integration and Management (IJBPIM).
    • [8] D.L. Parnas, “On the Criteria to be Used in Decomposing Systems into Modules”, Communication of the ACM, Vol.15, N°12, 1972.
    • [9] Michael Altenhofen, Thomas Hettel, Stefan Kusterer, “OCL Support in an Industrial Environment”, LNCS Volume 4364, Springer-Verlag, 2007, pp. 169-178.
    • [10] Knopfel, A., Grone, B., Tabeling, P., “Fundamental Modeling Concepts: Effective Communication of IT Systems”, John Wiley & Sons, 2006.
    • [11] ATLAS Group, “ATLAS transformation language“ URL http://www.eclipse.org/m2m/atl/, 2007.
    • [12] XJ Technologies, “AnyLogic - multi-paradigm simulation software” URL http://www.xjtek.com/anylogic/, 2007.
    • [24]V. Cortellessa, M. Gentile, and M. Pizzuti., “XPRIT: An XML-based tool to translate UML diagrams into execution graphs and queueing networks”, In IEEE First International Conference on Quantitative Evaluation of Systems (QEST), 2004.
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