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Automated error correction of business process models

Gambini, Mauro, La Rosa, Marcello, Migliorini, Sara, & ter Hofstede, Arthur H.M. (2011) Automated error correction of business process models.

Abstract

As order dependencies between process tasks can get complex, it is easy to make mistakes in process model design, especially behavioral ones such as deadlocks. Notions such as soundness formalize behavioral errors and tools exist that can identify such errors. However these tools do not provide assistance with the correction of the process models. Error correction can be very challenging as the intentions of the process modeler are not known and there may be many ways in which an error can be corrected. We present a novel technique for automatic error correction in process models based on simulated annealing. Via this technique a number of process model alternatives are identified that resolve one or more errors in the original model. The technique is implemented and validated on a sample of industrial process models. The tests show that at least one sound solution can be found for each input model and that the response times are short.

Impact and interest:

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Full-text downloads:

134 since deposited on 20 Mar 2011
23 in the past twelve months

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ID Code: 40824
Item Type: Report
Keywords: petri net, simulated annealing, automated error correction, genetic programming, process model
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > Information Systems
Copyright Owner: Copyright 2011 The authors
Deposited On: 21 Mar 2011 09:38
Last Modified: 11 Aug 2011 02:09

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