Definitions
In the context of Process Mining, Process model repair is a model enhancement operation for reconciling a set of existing differences between an event log and a model. The aim of this operation is to reconcile the set of differences while preserving, as much as possible, the resemblance between the original and the repaired model.
Overview
Business processes are core assets in modern organizations. Oftentimes they are captured as models to ease their understanding for the involved participants and enable the identification and prevention of issues that could arise during their execution. In addition to their descriptive nature, process models can be also prescriptive since they can be used to automate the process executions. Thus, it is crucial that process models stay up to date and reflect the intended behavior.
Modern information systems supporting business processes can maintain detailed data about the executions of such processes. This data can be extracted as event...
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References
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Cervantes, A.A. (2019). Process Model Repair. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_90
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DOI: https://doi.org/10.1007/978-3-319-77525-8_90
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