Applying UML metrics for quality measurement of EAST-ADL models

The goal of this thesis is to compile a set of metrics, which can estimate the quality and fault-proneness of an EAST-ADL model and can detect design flaws in it. To achieve this, existing metrics for Unified Modeling Language (UML) models are inspected and then the EAST-ADL metric set is deducted from them. The metrics are formally verified with Weyukers properties. Then the metrics are implemented in a suite to allow them measuring the complexity of a model. As last step the metrics are tested for their ability to measure the complexity of a model and detect design flaws in it.