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Supporting Regulatory Compliance by Pattern Detection in Enterprise Models: Approach and Application
Jönköping University, School of Engineering, JTH. Research area Information Engineering. (Information Engineering)
University of Rostock.
2013 (English)In: Manufacturing Modelling, Management, and Control / [ed] Bakhtadze, Natalia; Chernyshov, Kirill; Dolgui, Alexandre; Lototsky, Vladimir, Elsevier, 2013, p. 987-992Conference paper, Published paper (Refereed)
Abstract [en]

Many industries are facing a continuously changing business environment which partly is caused by new regulations and bylaws from regulating authorities. Ensuring compliance can cause substantial efforts, since conformance checks of business processes and organizational structures often have to be performed manually. The paper contributes to reducing these efforts by proposing tool support for analyzing enterprise models with the aim to use patterns for identifying potentially non-compliant parts of such models. Design patterns have been a fundamental tool for software development for many years. The approach of having predefined solutions can be beneficial for the purpose of compliance assessment as well. To this end a method to search and detect patterns within enterprise models is an important step. Based on a motivating scenario from automotive supplier industries, the paper proposes an approach and introduces a prototypical tool that finds similar matches to a given pattern by use of template matching with the normalized cross correlation as metric.

Place, publisher, year, edition, pages
Elsevier, 2013. p. 987-992
Series
IFAC Proceedings Volumes, ISSN 1474-6670 ; 46(9)
Keywords [en]
compliance assessment; enterprise model; pattern detection; pattern search; cosine similarity
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hj:diva-22779DOI: 10.3182/20130619-3-RU-3018.00415Scopus ID: 2-s2.0-84884301348ISBN: 978-3-902823-35-9 (print)OAI: oai:DiVA.org:hj-22779DiVA, id: diva2:681012
Conference
IFAC MIM 2013, Manufacturing Modelling, Management, and Control, St. Petersburg, Russia
Available from: 2013-12-19 Created: 2013-12-16 Last updated: 2018-09-13Bibliographically approved

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Sandkuhl, Kurt

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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