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Applying Megamodelling to Model-Driven Performance Engineering

Abstract : Model Driven Engineering (MDE) has to deal with an increasing number of interrelated modelling artefacts. The Model Driven Performance Engineering (MDPE) process is one concrete illustration of such a situation. This process applies MDE within the context of performance engineering in order to support domain experts, who generally lack the necessary performance expertise. In this paper, we demonstrate the use of megamodelling to manage the numerous artefacts involved in MDPE. Megamodelling enables the explicit modelling of the metadata on MDE artefacts, including possible relationships between those artefacts. Appropriate tool support enables different stakeholders to exploit this additional information. Applying the megamodelling to MDPE pointed out the need for an extension of the existing approach. Thus, the result of the paper is twofold: first, an extension of megamodelling is proposed, second the benefits of the approach are shown on the MDPE use case. We claim that the extension is not solely useful for the latter case, but has a more generic applicability.
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Submitted on : Tuesday, January 29, 2013 - 4:11:35 PM
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Mathias Fritzsche, Hugo Bruneliere, Bert Vanhooff, Yolande Berbers, Frédéric Jouault, et al.. Applying Megamodelling to Model-Driven Performance Engineering. 16th IEEE International Conference and Workshop on the Engineering of Computer Based Systems (ECBS 2009), Apr 2009, San Fransisco, United States. ⟨10.1109/ECBS.2009.33⟩. ⟨hal-00782277⟩



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