Where were we?

In the last post we considered the problem of the Integrated fast food management. In step 1, we designed the models and in step 2 we weaved them. As a result the application were developed just by weaving live-models. We finished the last post by asking ourselves how could we answer the Fast Food manager’s issues:  the boss wanted to control the burger cooking rate according to current demand. In addition, soon, he will ask to include other contextual parameters, such as the number of available seats, or the location of the truck which delivers salads and burgers.  How could we define a flexible, maintainable, and intelligent system? We proposed to use CEP concepts.

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Last week we submitted a talk at Eclipse Con 2010 “Add Complex Event Processing to your EMF models: Super Size models Fast food demo“. This is a good opportunity for explaining the concepts and architecture exposed in the talk. Actually that’s a good continuation of the last post. Indeed, we saw the M2M principles and the reasons why we needed transformation support and tracking of modifications from live-models.  Today we  put all those things in practise and dive into a real application example with live models, going further we use Complex Event Processing for injecting “intelligence” in the application.

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Today we dive into a technical and theoretical track on the model transformation. In this post we investigate the existing techniques in Eclipse M2M in order to transform models, going further we replace them in the live-Model context and define what do we need to design such applications. We also present the live Weaver developed by our colleague Olivier Moises, which enables to track model changes. We will see how this kind of framework can be used in live transformation.

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