Process mining provides techniques to improve the performance and compliance of operational processes. Although sometimes the term "workflow mining" is used, the application in the context of Workflow Management (WFM) and Business Process Management (BPM) systems is limited. The main reason is that WFM/BPM systems control the process, leaving less room for flexibility and the corresponding deviations. However, as this paper shows, it is easy to extract event data from systems like Camunda, one of the leading open-source WFM/BPM systems. Moreover, although the respective process engines control the process flow, process mining is still able to provide valuable insights, such as the analysis of the performance of the paths and the mining of the decision rules. This demo paper presents a process mining connector to Camunda that extracts event logs and process models, allowing for the application of existing process mining tools. We also analyzed the added value of different process mining techniques in the context of Camunda. We discuss a subset of process mining techniques that nicely complements the process intelligence capabilities of Camunda. Through this demo paper, we hope to boost the use of process mining among Camunda users.

中文翻译：

---

流程挖掘功能与 Camunda 工作流引擎的开源集成：数据提取和挑战

流程挖掘提供了改进操作流程的性能和合规性的技术。尽管有时使用术语“工作流挖掘”，但在工作流管理 (WFM) 和业务流程管理 (BPM) 系统上下文中的应用是有限的。主要原因是 WFM/BPM 系统控制了流程，留给灵活性和相应偏差的空间较小。然而，正如本文所示，从 Camunda 等系统中提取事件数据很容易，Camunda 是领先的开源 WFM/BPM 系统之一。此外，虽然各自的流程引擎控制流程流程，但流程挖掘仍然能够提供有价值的见解，例如路径性能的分析和决策规则的挖掘。本演示论文展示了一个连接到 Camunda 的流程挖掘连接器，它可以提取事件日志和流程模型，允许应用现有的流程挖掘工具。我们还在 Camunda 的背景下分析了不同过程挖掘技术的附加值。我们讨论了一个过程挖掘技术的子集，它很好地补充了 Camunda 的过程智能功能。通过这篇演示论文，我们希望促进 Camunda 用户对流程挖掘的使用。