Business processes are continuously evolving in order to adapt to changes due to various factors. One type of process changes are branching frequency changes, which are related to changes in frequencies between different options when there is an exclusive choice. Existing methods either cannot detect such changes or cannot provide accurate and comprehensive results. In this paper, we propose a method which takes both event logs and process models as input and generates a choice sequence for each exclusive choice in the process model. The method then identifies change points based on the choice sequences. We evaluate our method on a real-life event log, results show that our method can identify branching frequency changes in process models and provide comprehensive results.

翻译：为了适应各种因素引起的变化,业务流程在不断演变,以适应各种因素引起的变化。一种程序变化是分流频率变化,这些变化与不同选项之间的频率变化有关,如果有排他性选择。现有方法要么无法检测这种变化,要么无法提供准确和全面的结果。在本文中,我们建议一种方法,既将事件日志和进程模型作为输入,又为进程模型中的每个独家选择生成一个选择序列。该方法然后根据选择序列确定变化点。我们用实际活动日志来评估我们的方法,结果显示我们的方法可以确定流程模型中的分流频率变化,并提供全面的结果。