Model transformation chains and model management for end-to-end performance decision support
GTTSE'09 Proceedings of the 3rd international summer school conference on Generative and transformational techniques in software engineering III
International Journal of Metadata, Semantics and Ontologies
Model-driven performance analysis of rule-based domain specific visual models
Information and Software Technology
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Model Driven Engineering (MDE) has to deal with an increasing number of interrelated modelling artifacts. 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 artifacts involved in MDPE. Megamodelling enables the explicit modelling of the metadata on MDE artifacts, including possible relationships between those artifacts. 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.