FAME: Formalizing and Managing Evolution in Model-Driven Engineering

01.01.2011 - 31.12.2014

Research funding project

Like traditional program code, software models are not resistant to change, but evolve over time by undergoing continuous extensions, corrections, and modifications. In model-driven engineering (MDE), evolution is multidimensional leading to the model management tasks of synchronization, versioning, and co-evolution. Whereas each of these tasks has recently received increased research interest, a systematic comparison and evaluation of the different approaches is missing. Within the FAME project, we aim at establishing a uniform framework characterizing changes and their impacts. The resulting findings will provide the basis for a suite of efficient techniques for avoiding unexpected side-effects of evolution. We will use different, well-explored formalisms with powerful inference engines exploiting concise semantic definitions of the modeling languages. By this, FAME will contribute to reliable change propagation indispensable for automatic quality assurance in MDE.

People

Project leader

Uwe Egly (E184)

Project personnel

Hans Tompits (E184)
Magdalena Widl (E184)

Institute

E184 - Institute of Information Systems

Grant funds

WWTF Wiener Wissenschafts-, Forschu und Technologiefonds (National) Vienna Science and Technology Fund (WWTF)

Research focus

Computer Science Foundations: 10%
Computational Intelligence: 90%

Keywords

German	English
Auswirkungen von Änderungen auf Modelle	Change Propagation
Evolution von Modellen	Model Evolution
Model Management	Model Management
Qualitätssicherung bei Modellen	Model Quality

External partner

Institut für Softwaretechnik und interaktive Systeme (ISIS, E188)

Publications

Publications