Journal article

Impact-Driven Process Model Repair

Artem Polyvyanyy, Wil MP Van der Aalst, Arthur HM Ter Hofstede, Moe T Wynn

ACM Transactions on Software Engineering and Methodology | Association for Computing Machinery | Published : 2016


The abundance of event data in today’s information systems makes it possible to “confront” process models with the actual observed behavior. Process mining techniques use event logs to discover process models that describe the observed behavior, and to check conformance of process models by diagnosing deviations between models and reality. In many situations, it is desirable to mediate between a preexisting model and observed behavior. Hence, we would like to repair the model while improving the correspondence between model and log as much as possible. The approach presented in this article assigns predefined costs to repair actions (allowing inserting or skipping of activities). Given a max..

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Awarded by Australian Research Council

Funding Acknowledgements

This research was partly supported by the Australian Research Council's Discovery Projects funding scheme (project DP120101624).