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  <identifier identifierType="DOI">10.18453/rosdok_id00004800</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Wilsdorf, Pia</creatorName>
      <givenName>Pia</givenName>
      <familyName>Wilsdorf</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/1366420047</nameIdentifier>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">https://orcid.org/0000-0001-7447-6667</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Exploiting explicit context information for the automatic generation of simulation experiments</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2024</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">004 Data processing Computer sciences</subject>
  </subjects>
  <dates>
    <date dateType="Created">2024</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">https://purl.uni-rostock.de/rosdok/id00004800</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-rosdok_id00004800-5</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">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).</description>
  </descriptions>
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