Analyzing process models using graph reduction techniques

TL;DR: A visual verification approach and algorithm is presented that employs a set of graph reduction rules to identify structural conflicts in process models for the given workflow modeling language and provides insights into the correctness and complexity of the reduction process.

Abstract: The foundation of a process model lies in its structural specifications. Using a generic process modeling language for workflows, we show how a structural specification may contain deadlock and lack of synchronization conflicts that could compromise the correct execution of workflows. In general, identification of such conflicts is a computationally complex problem and requires development of effective algorithms specific for the target modeling language. We present a visual verification approach and algorithm that employs a set of graph reduction rules to identify structural conflicts in process models for the given workflow modeling language. We also provide insights into the correctness and complexity of the reduction process. Finally, we show how the reduction algorithm may be used to count possible instance subgraphs of a correct process model. The main contribution of the paper is a new technique for satisfying well-defined correctness criteria in process models. © 2000 Published by Elsevier Science Ltd. All rights reserved.