Pre-proceedings of the first international workshop on business process intelligence (BPI'05), September 5, 2005, Nancy, France

Most information systems log events (e.g., transaction logs, audit trails) to audit and monitor the processes they support. At the same time, many of these processes have been explicitly modeled. For example, SAP R/3 logs events in transaction logs and there are EPCs (Event-driven Process Chains) describing the so-called reference models. These reference models describe how the system should be used. The coexistence of event logs and process models raises an interesting question: “Does the event log conform to the process model and vice versa?”. This paper demonstrates that there is not a simple answer to this question. To tackle the problem, we distinguish two dimensions of conformance: fitness (the event log may be the result of the process modeled) and appropriateness (the model is a likely candidate from a structural and behavioral point of view). Different metrics have been defined and a Conformance Checker has been implemented within the ProM Framework.

[1]  C. Petri Kommunikation mit Automaten , 1962 .

[2]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[3]  Peter P. Chen The entity-relationship model—toward a unified view of data , 2011, TODS.

[4]  Hans-Peter Lipp Die Anwendung der unscharfen Mengentheorie für ein Steuerungskonzept zur operativen Führung komplexer Systeme , 1980 .

[5]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[6]  Peter P. Chen,et al.  Entity — Relationship modeling and fuzzy databases , 1986, 1986 IEEE Second International Conference on Data Engineering.

[7]  W. Starbuck Learning by Knowledge-Intensive Firms , 1992 .

[8]  Heinrich Rommelfanger,et al.  Fuzzy-Logik basierte Verarbeitung von Expertenregeln , 1993 .

[9]  A. Scheer Business Process Engineering: Reference Models for Industrial Enterprises , 1994 .

[10]  Stefan Jablonski,et al.  Workflow-Management-Systeme: Motivation, Modellierung, Architektur , 1995, Inform. Spektrum.

[11]  T. Davenport,et al.  Improving Knowledge Work Processes , 1996 .

[12]  August-Wilhelm Scheer ARIS-Toolset: Von Forschungs-Prototypen zum Produkt , 1996, Informatik-Spektrum.

[13]  Rudolf Kruse Fuzzy-Systeme – Positive Aspekte der Unvollkommenheit , 1996, Informatik-Spektrum.

[14]  Albrecht Hönerloh Unscharfe Simulation in der Betriebswirtschaft: Modellbildung und Simulation auf der Basis der Fuzzy-Set-Theorie , 1997 .

[15]  Wil M. P. van der Aalst,et al.  Verification Of Workflow Task Structures: A Petri-net-baset Approach , 2000, Inf. Syst..

[16]  Oliver Thomas,et al.  Fuzzy-Ereignisgesteuerte Prozessketten - Geschäftsprozessmodellierung unter Berücksichtigung unscharfer Daten , 2002, EPK.

[17]  Oliver Thomas,et al.  Gestaltung und Steuerung wissensintensiver Geschäftsprozesse durch die Nutzung unscharfen Wissens , 2003, Wissensmanagement.