Supporting Regulatory Compliance by Pattern Detection in Enterprise Models: Approach and Application

Dunkel, Kalle Aid and Sandkuhl, Kurt and Wißotzki, Matthias (2013) Supporting Regulatory Compliance by Pattern Detection in Enterprise Models: Approach and Application. In: Manufacturing Modelling, Management, and Control.

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Abstract

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: A General Works
Date Deposited: 26 Sep 2017 08:45
Last Modified: 15 Nov 2017 09:09
URI: http://eprints.win.informatik.uni-rostock.de/id/eprint/179

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