Colored Petri Nets for Integrating the Data Perspective in Process Audits

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review


The complexity of business processes and the data volume of processed transactions increase with the ongoing integration of information systems. Process mining can be used as an innovative approach to derive information about business processes by analyzing recorded data from the source information systems. Although process mining offers novel opportunities to analyze and inspect business processes it is rarely used for audit purposes. The application of process mining has the potential to significantly improve process audits if requirements from the application domain are considered adequately. A common requirement for process audits is the integration of the data perspective. We introduce a specification of Colored Petri Nets that enables the modeling of the data perspective for a specific application domain. Its application demonstrates how information from the application domain can be used to create process models that integrate the data perspective for the purpose of process audits.
TitelInternational Conference on Conceptual Modeling : Conceptual Modeling
RedaktørerWilfred Ng, Veda C. Storey, Juan C. Trujillo
Udgivelses stedBerlin
ForlagSpringer Publishing Company
ISBN (Trykt)9783642419232
ISBN (Elektronisk)9783642419249
StatusUdgivet - 2013
Udgivet eksterntJa
Begivenhed32nd International Conference on Conceptual Modeling. ER 2013 - Hong Kong, Kina
Varighed: 11 nov. 201313 nov. 2013
Konferencens nummer: 32


Konference32nd International Conference on Conceptual Modeling. ER 2013
ByHong Kong
NavnLecture Notes in Computer Science


  • Business process audits
  • Petri nets
  • Business process modeling
  • Process mining
  • Business intelligence
  • Business process intelligence


Werner, M. (2013). Colored Petri Nets for Integrating the Data Perspective in Process Audits. I W. Ng, V. C. Storey, & J. C. Trujillo (red.), International Conference on Conceptual Modeling: Conceptual Modeling (s. 387-394). Springer Publishing Company. Lecture Notes in Computer Science, Bind. 8217