Where did i misbehave? diagnostic information in compliance checking

  • Authors:
  • Elham Ramezani;Dirk Fahland;Wil M. P. van der Aalst

  • Affiliations:
  • Eindhoven University of Technology, The Netherlands;Eindhoven University of Technology, The Netherlands;Eindhoven University of Technology, The Netherlands

  • Venue:
  • BPM'12 Proceedings of the 10th international conference on Business Process Management
  • Year:
  • 2012

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Abstract

Compliance checking is gaining importance as today's organizations need to show that operational processes are executed in a controlled manner while satisfying predefined (legal) requirements. Deviations may be costly and expose the organization to severe risks. Compliance checking is of growing importance for the business process management and auditing communities. This paper presents a comprehensive compliance checking approach based on Petri-net patterns and alignments. 55 control flow oriented compliance rules, distributed over 15 categories, have been formalized in terms of Petri-net patterns describing the compliant behavior. To check compliance with respect to a rule, the event log describing the observed behavior is aligned with the corresponding pattern. The approach is flexible (easy to add new patterns), robust (the selected alignment between log and pattern is guaranteed to be optimal), and allows for both a quantification of compliance and intuitive diagnostics explaining deviations at the level of alignments. The approach can also handle resource-based and data-based compliance rules and is supported by ProM plug-ins. The applicability of the approach has been evaluated using various real-life event logs.