Technological Spaces: An Initial Appraisal

In this paper, we propose a high level view of technological spaces (TS) and relations among these spaces. A technological space is a working context with a set of associated concepts, body of knowledge, tools, required skills, and possibilities. It is often associated to a given user community with shared know-how, educational support, common literature and even workshop and conference regular meetings. Although it is difficult to give a precise definition, some TSs can be easily identified, e.g. the XML TS, the DBMS TS, the abstract syntax TS, the meta-model (OMG/MDA) TS, etc. The purpose of our work is not to define an abstract theory of technological spaces, but to figure out how to work more efficiently by using the best possibilities of each technology. To do so, we need a basic understanding of the similarities and differences between various TSs, and also of the possible operational bridges that will allow transferring the results obtained in one TS to other TS. We hope that the presented industrial vision may help us putting forward the idea that there could be more cooperation than competition among alternative technologies. Furthermore, as the spectrum of such available technologies is rapidly broadening, the necessity to offer clear guidelines when choosing practical solutions to engineering problems is becoming a must, not only for teachers but for project leaders as well

Combiner Contraintes et Modèles pour le Traitement de Langage Contrôlé

International audienceNon disponibl

A Domain Specific Language for Expressing Model Matching

National audienceA matching strategy computes mappings between two models by executing a set of heuristics. In this paper, we introduce the AtlanMod Matching Language (AML), a Domain Specific Language (DSL) for expressing matching strategies. AML is based on the Model-Driven paradigm, i.e., it implements model matching strategies as chains of model transformations. A matching model transformation takes a set of models as input, and yields a mapping model as output. We present a compiler that takes AML programs and generates ATL (AtlanMod Transformation Language) and Apache Ant code. The ATL code instruments the matching model transformations, and the Ant code orchestrates their execution. We evaluate this implementation on two strategies including robust matching transformations from the literature

Measuring Model Repositories

International audienceWe first present a model repository that has been built as part of the open source Eclipse GMT/AM3 project (Generative Modeling Technology/ATLAS MegaModel Management). Several contributed artifacts present in this repository are organized into sets of models of similar nature called zoos. The structure of the repository will be rapidly described. Its content is very rapidly extending, providing a publicly available source of experimental data to evaluate real life sets of model engineering artifacts. As an initial experiment, this paper shows how the elements contained in the AM3 zoos can be measured. Some examples of such measurements are provided for illustration purposes