Process compliance analysis based on behavioural profiles

Weidlich, Matthias, Polyvyanyy, Artem, Desai, Nirmit, Mendling, Jan, & Weske, Mathias (2011) Process compliance analysis based on behavioural profiles. Information Systems, 36(7), pp. 1009-1025.

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Process compliance measurement is getting increasing attention in companies due to stricter legal requirements and market pressure for operational excellence. In order to judge on compliance of the business processing, the degree of behavioural deviation of a case, i.e., an observed execution sequence, is quantified with respect to a process model (referred to as fitness, or recall). Recently, different compliance measures have been proposed. Still, nearly all of them are grounded on state-based techniques and the trace equivalence criterion, in particular. As a consequence, these approaches have to deal with the state explosion problem. In this paper, we argue that a behavioural abstraction may be leveraged to measure the compliance of a process log – a collection of cases. To this end, we utilise causal behavioural profiles that capture the behavioural characteristics of process models and cases, and can be computed efficiently. We propose different compliance measures based on these profiles, discuss the impact of noise in process logs on our measures, and show how diagnostic information on non-compliance is derived. As a validation, we report on findings of applying our approach in a case study with an international service provider.

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21 citations in Web of Science®

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ID Code: 70734
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Process compliance, Compliance measurement, Log conformance, Root cause analysis
DOI: 10.1016/
ISSN: 0306-4379
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 01:22
Last Modified: 11 May 2014 23:04

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