Mdeforge
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The document introduces MDEForge, a new collaborative modeling platform that aims to address challenges with current modeling tools. MDEForge will provide (1) a community-based modeling repository for developing, analyzing, and reusing modeling artifacts, (2) an online modeling tool appstore to support developing new languages and editors, and (3) modeling tools as a cloud-based software as a service. It will support features like model transformations, identifying model chains, applying metrics, model differencing, and collaborative modeling. The framework will leverage technologies like EMF, MongoDB, ATL, and RESTful web services.
Mdeforge
- 1. Universit degli Studi dellAquilaUniversit degli Studi dellAquila Juri Di Rocco, Basciani Francesco Computer Science Department, University of LAquila, Italy
- 2. Introduction Objective & Challenge Idea Forge Infrastructure Forge Feature Future work MDEFORGE 2
- 3. MDE tool challenges: Collaborative modeling system that offer all the facilities of advanced modeling system; Reuse of already developed modeling artifacts (Repository) An Integreted tool for menage severals types of modeling artifact Support Agile process and dinamically chenge the level of tool flexibility depending on the stage of process; MDEFORGE 3
- 4. MDEForge is a new collaborative modeling platform that provide both tool developers and final user with innovative feature; It will provide a community-based modeling repository, which will underpin the devolpement, analysis and reuse of MDE artifact; It will support query for retrive modeling artifacts; It will permit to deliver model menagment tools as software as a service; It will provide an online modeling tool appstore that will support the development of new languages, editor, transformation, etc It will be modularity and extendible; MDEFORGE 4
- 5. The framework will be availble as software as service by adopting state of the art cloud technologies and the functionalities that will be provided to user will be the following: Model transformation excution; Model chain transformation identification; Metrics application; Model differencing; Collaborative modeling tool (like google doc); MDEFORGE 5
- 6. MDEFORGE 6 Framework contributors: They are devolopers that knows the technical details of the framework and are able to contribute in its enchantment by solving bugs and adding new feature/module; Modeling artifact contributors: They are modeling experts that want share their developed modeling artifact i.e. metamodels, transormation, editor, that have been developed for a particular application domain; Adopters of modeling artifact: They are user that want to apply model baed technique in their buisinees but they dont have neither expertise nor the resources to invest in the development of required tool for such a purpose.
- 7. MDEFORGE 7
- 8. MDEFORGE 8
- 10. MDEFORGE 10 EMF generated model code; MongoDB documental database, NO SQL; Pongo - Java POJO generator for MongoDB; ATL Transformation language; EMFJSON - JSON binding for EMF models; JERSEY framework for RESTFull web service; EMFCompare tool for model differencing and comparison.