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  <abstract type="Summary">Modeling and simulation are vital for understanding complex systems. Creating valid models is challenging and involves a variety of simulation experiments. This dissertation proposes automating the conduction of simulation experiments by reuse and adaptation, and is structured into three parts: (1) employing model-driven engineering to specify experiments tool-agnostically; (2) formalizing context via conceptual models and provenance graphs; and (3) integrating these into the Reuse and Adapt framework for Simulation Experiments (RASE).&lt;eng&gt;</abstract>
  <abstract type="Summary">Modellierung und Simulation sind entscheidend für das Verständnis komplexer Systeme. Die Erstellung valider Modelle ist herausfordernd und umfasst verschiedene Simulationsexperimente. Diese Dissertation automatisiert die Durchführung von Simulationsexperimenten mittels Wiederverwendung und Anpassung und ist in drei Teile gegliedert: (1) die Nutzung modellgetriebener Entwicklung, um Experimente toolunabhängig zu spezifizieren; (2) die Formalisierung von Kontext durch konzeptionelle Modelle und Provenienzgraphen; und (3) die Integration dieser Ansätze in das Reuse and Adapt Framework (RASE).&lt;ger&gt;</abstract>
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  <note type="statement of responsibility">vorgelegt von Pia Wilsdorf</note>
  <note>GutachterInnen: Adelinde Uhrmacher (Universität Rostock) ; Jane Hillston (University of Edinburgh) ; Nikolas Popper (Technische Universität Wien)</note>
  <note type="thesis">Dissertation Universität Rostock 2024</note>
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      <title>Exploiting explicit context information for the automatic generation of simulation experiments</title>
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