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Structuring analyses of complex enterprise datasets with adaptive morphogenesis methods

Published:31 August 2017Publication History

ABSTRACT

The potential of the adaptive morphogenesis methods proposed by architect Christopher Alexander is yet to be fully realised in enterprise data analysis context. These could be customised to provide a suitable metaphor for organising analyses and to introduce novel analysis techniques. We propose a related framework and demonstrate its usage on a prototype. Our particular focus has been on identifying fundamental structural properties similar to those Alexander found present in living structures elsewhere. In addition to giving a justified structure to analyses and wholistically organising their artifacts, the framework might be useful in assessing existing analyses and analysis patterns

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          cover image ACM Other conferences
          ECBS '17: Proceedings of the Fifth European Conference on the Engineering of Computer-Based Systems
          August 2017
          177 pages
          ISBN:9781450348430
          DOI:10.1145/3123779

          Copyright © 2017 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 31 August 2017

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