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        <datestamp>2024-03-06T11:06:58Z</datestamp>
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          <dc:title>Approaches to Compute Workflow Complexity</dc:title>
          <dc:creator>Cardoso, Jorge</dc:creator>
          <dc:subject>Workflow</dc:subject>
          <dc:subject>Complexity</dc:subject>
          <dc:subject>Business Processes</dc:subject>
          <dc:subject>Reengineering</dc:subject>
          <dc:description>During the last 20 years, complexity has been an interesting topic that has been investigated in many fields of science, such as biology, neurology, software engineering, chemistry, psychology, and economy. A survey of the various approaches to understand complexity has lead sometimes to a measurable quantity with a rigorous but narrow definition and other times as merely an ad hoc label. In this paper we investigate the complexity concept to avoid a vague use of the term `complexity' in workflow designs. We present several complexity metrics that have been used for a number of years in adjacent fields of science and explain how they can be adapted and use to evaluate the complexity of workflows.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Jorge Cardoso</dc:contributor>
          <dc:date>2006</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 6291, The Role of Business Processes in Service Oriented Architectures (2006)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/DagSemProc.06291.7</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-8219</dc:identifier>
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