论文标题
将过程挖掘功能集成到Camunda Workflow引擎中的开源集成:数据提取和挑战
An Open-Source Integration of Process Mining Features into the Camunda Workflow Engine: Data Extraction and Challenges
论文作者
论文摘要
流程挖掘提供了提高操作过程的性能和合规性的技术。尽管有时使用“工作流挖掘”一词,但在工作流管理(WFM)和业务流程管理(BPM)系统中的应用程序有限。主要原因是WFM/BPM系统控制该过程,留出更少的灵活性空间和相应的偏差。但是,正如本文所示,很容易从Camunda等系统中提取事件数据,Camunda是领先的开源WFM/BPM系统之一。此外,尽管各自的流程引擎控制了过程流,但过程挖掘仍然能够提供有价值的见解,例如对路径绩效的分析和决策规则的采矿。该演示论文为Camunda提供了一个流程挖掘连接器,该连接器提取事件日志和过程模型,从而允许应用现有的流程挖掘工具。我们还分析了Camunda背景下不同过程挖掘技术的附加值。我们讨论了一部分过程挖掘技术,可以很好地补充Camunda的过程智能能力。通过此演示论文,我们希望能够在Camunda用户中促进流程挖掘的使用。
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.