The research project AmAVaG started in January 2013. The project’s ambitious target was to automatically analyse the architecture and variability aspects of macro-based generating systems (e.g. developed with ADS, SWT, AMB). The results get represented and transformed into generative domain models. On one hand this extracted artefacts serve as re-documentation of the original generating system and on the other hand they serve as starting point for migration and modernisation.
The project was funded by the Federal Ministry of Education and Research [Bundesministerium für Bildung und Forschung] (BMBF). The following participants joined the project:
Since many years we develop generating technologies, among others ADS and HyperSenses. We brought our knowledge and experience into the project when it comes to the point where the architecture and variability aspects get extracted and transformed into appropriate models.
With our AMELIO Modernization Platform we already gained wide experience in migration and modernization of legacy-applications. AMELIO served as an optimal tool basis for the planned project.