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The multiagent paradigm promises an intuitive understanding of dynamic softwareintensive systems capable of adapting their own behavior, while ModelDriven Engineering improves quality and efficiency. In this thesis, we fuse these concepts into a modeldriven approach to multiagent system design by combining CurCuMA, an innovative approach for designing complex coordination architectures, with a solid theoretical and technical foundation that enables formal verification and experimental validation. CurCuMA is based on dynamic agent organizations solving specific problems by adhering to a set of shared conventions, and the prominent use of the agents' environment as the frame of reference that such conventions require. For their specification, we extend the UML with a family of visual constraint languages: Story Decision Diagrams provide a firstorder logic for objectoriented systems, whereas Timed Story Scenario Diagrams describe their structural evolution. We provide a formal semantics based on graph grammars, which enables the application of formal verification techniques and an iterative development process relying on code generation, simulation, and monitoring.
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