Model transformations in non-functional analysis

Abstract

The quality assessment of software design models in early development phases can prevent wrong design decisions on the architectural level. As such wrong decisions are usually very cost-intensive to revert in late testing phases, model-driven quality predictions offer early quality estimates to prevent such erroneous decisions. By model-driven quality predictions we refer to analyses which run fully automated based on model-driven methods and tools. In this paper, we give an overview on the process of model-driven quality analyses used today with a special focus on issues that arise in fully automated approaches. © 2012 Springer-Verlag.