Abstract
In model driven development (MDD), models are transformed automatically into other models. This leads to transformation chains. The goal of MDD is to set up efficient transformation chains, i.e. adding semantics first and platform detail later. When the platform is changed, only the later, platform specific models have to be replaced. This paper constructs metrics for measuring and comparing the models obtained through transformations in MDD processes, in order to help to set up the more efficient transformation chains.
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von Pilgrim, J. (2008). Measuring the Level of Abstraction and Detail of Models in the Context of MDD. In: Giese, H. (eds) Models in Software Engineering. MODELS 2007. Lecture Notes in Computer Science, vol 5002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69073-3_12
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DOI: https://doi.org/10.1007/978-3-540-69073-3_12
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