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A Parallel Approach for Decision Trees Learning from Big Data Streams Read chapter Read first chapter

2015 | OriginalPaper | Chapter

On Improving the Maintainability of Compliance Rules for Business Processes

Authors : Sven Niemand, Sven Feja, Sören Witt, Andreas Speck

Published in: Business Information Systems

Publisher: Springer International Publishing

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Abstract

Business process regulatory compliance management (RCM) is ensuring that the business processes of an organization are in accordance with laws and other domain-specific regulations. In order to achieve compliance, various approaches advocate checking process models using formal compliance rules that are derived from regulations. However, this shifts the problem of ensuring compliance to the rules - for example, the derived rules have to be updated in the case that regulations are changed. In this paper we show how existing RCM solutions can be extended with traceability between compliance rules and regulations. Traceability supports the alignment of regulations and rules and thus helps improving the overall maintainability of compliance rules.

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previous chapter Mining Multi-variant Process Models from Low-Level Logs
next chapter Evolutionary Computation Based Discovery of Hierarchical Business Process Models
Footnotes
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http://​www.​soxlaw.​com/​ [Accessed 13 March 2015].
 
5
http://​www.​eclipse.​org [Accessed 13 March 2015].
 
7
 
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Metadata
Title
On Improving the Maintainability of Compliance Rules for Business Processes
Authors
Sven Niemand
Sven Feja
Sören Witt
Andreas Speck
Copyright Year
2015
Book
Business Information Systems

Print ISBN: 978-3-319-19026-6

Electronic ISBN: 978-3-319-19027-3

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-19027-3_15

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