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Automated architecture modeling for enterprise technology manageme using principles from data fusion: A security analysis case
RISE - Research Institutes of Sweden, ICT, SICS.
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2016 (English)In: PICMET 2016 - Portland International Conference on Management of Engineering and Technology: Technology Management For Social Innovation, Proceedings, 2016, 14-22 p.Conference paper (Refereed)
Abstract [en]

Architecture models are used in enterprise management for decision support. These decisions range from designing processes to planning for the appropriate supporting technology. It is unreasonable for an existing enterprise to completely reinvent itself. Incremental changes are in most cases a more resource efficient tactic. Thus, for planning organizational changes, models of the current practices and systems need to be created. For mid-sized to large organizations this can be an enormous task when executed manually. Fortunately, there's a lot of data available from different sources within an enterprise that can be used for populating such models. The data are however almost always heterogeneous and usually only representing fragmented views of certain aspects. In order to merge such data and obtaining a unified view of the enterprise a suitable methodology is needed. In this paper we address this problem of creating enterprise architecture models from heterogeneous data. The paper proposes a novel approach that combines methods from the fields of data fusion and data warehousing. The approach is tested using a modeling language focusing on cyber security analysis in a study of a lab setup mirroring a small power utility's IT environment.

Place, publisher, year, edition, pages
2016. 14-22 p.
Keyword [en]
Data fusion, Data warehouses, Decision support systems, Security systems, Architecture modeling, Architecture models, Enterprise Architecture, Enterprise management, Enterprise technology, Large organizations, Organizational change, Supporting technology, Modeling languages
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-29367DOI: 10.1109/PICMET.2016.7806662ScopusID: 2-s2.0-85016195766ISBN: 9781509035953 OAI: oai:DiVA.org:ri-29367DiVA: diva2:1095645
Conference
2016 Portland International Conference on Management of Engineering and Technology, PICMET 2016, 4 September 2016 through 8 September 2016
Available from: 2017-05-15 Created: 2017-05-15 Last updated: 2017-05-15Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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