Conference Proceedings

Predicting process performance: A white‐box approach based on process models

I Verenich, Marlon Dumas, M La Rosa, H Nguyen

JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS | Wiley | Published : 2019

Abstract

Predictive business process monitoring methods exploit historical process execution logs to provide predictions about running instances of a process. These predictions enable process workers and managers to preempt performance issues or compliance violations. A number of approaches have been proposed to predict quantitative process performance indicators for running instances of a process, including remaining cycle time, cost, or probability of deadline violation. However, these approaches adopt a black‐box approach, insofar as they predict a single scalar value without decomposing this prediction into more elementary components. In this paper, we propose a white‐box approach to predict perf..

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