Process compliance measurement based on behavioural profiles

Weidlich, Matthias, Polyvyanyy, Artem, Desai, Nirmit, & Mendling, Jan (2010) Process compliance measurement based on behavioural profiles. In Pernici, Barbara (Ed.) Lecture Notes in Computer Science : Advanced Information Systems Engineering, Springer Berlin Heidelberg, Hammamet, Tunisia, pp. 499-514.

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Process compliance measurement is getting increasing attention in companies due to stricter legal requirements and market pressure for operational excellence. On the other hand, the metrics to quantify process compliance have only been defined recently. A major criticism points to the fact that existing measures appear to be unintuitive. In this paper, we trace back this problem to a more foundational question: which notion of behavioural equivalence is appropriate for discussing compliance? We present a quantification approach based on behavioural profiles, which is a process abstraction mechanism. Behavioural profiles can be regarded as weaker than existing equivalence notions like trace equivalence, and they can be calculated efficiently. As a validation, we present a respective implementation that measures compliance of logs against a normative process model. This implementation is being evaluated in a case study with an international service provider.

Impact and interest:

14 citations in Scopus
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14 citations in Web of Science®

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ID Code: 70733
Item Type: Conference Paper
Refereed: Yes
Additional Information: Book Subtitle:
22nd International Conference, CAiSE 2010, Hammamet, Tunisia, June 7-9, 2010. Proceedings
Additional URLs:
DOI: 10.1007/978-3-642-13094-6_38
ISBN: 9783642130939
ISSN: 0302-9743
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DISTRIBUTED COMPUTING (080500)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 30 Apr 2014 01:18
Last Modified: 16 Jul 2014 06:16

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