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- Eclipse Plug-ins and Extension Points
- Eclipse Modeling Framework (EMF)
- This tutorial needs the turingmachine.ecore and the controller you've implemented in the EMF tutorial. If you did not complete the EMF tutorial, you may download a working turing machine here... (in the future)metamodel in the next subsection.
Setting Up Your Workspace
If you have already completed the Eclipse Modeling Framework (EMF) tutorial and created your own turing machine metamodel, you are encouraged to use it to perform this tutorial. If you did not (or if you want to start from scratch) feel free to follow the steps of this section to retrieve a working metamodel.
- Download the zip file with all our prepared tutorial plugins from our Stash. Unzip the file.
- Open the context menu within the Package-Explorer (on the very left, right-click the empty space).
- Select Import. Then chose General > Existing Projects into Workspace.
- Browse to the location where you unzipped the downloaded plug-ins. Check the check box in front of all the
de.cau.cs.kieler.tutorials.klighd.*projects and press Finish.
The imported projects contain a meta model for Turing machines. (You may notice that this tutorial thus also slips in a perfect opportunity to brush up on your knowledge of Turing machines. Consider it a public service and thank us later.) It does not model the tape or the head, only its states and transitions. It is these Turing machines that we will develop a visualization for over the course of this tutorial.
Creating a Grammar
An Xtext grammar is always related to a specific EMF meta model. The grammar defines a concrete syntax in which instances of the meta model (the abstract syntax) can be serialized and stored. Xtext supports two ways of linking a grammar with a meta model: either creating a grammar for an existing meta model, or creating a grammar first and generating a meta model out of it. Here we will use the former approach, reusing the meta model for Turing Machines that you already defined earlier.
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