Business process compliance is a key area of business process management and aims at ensuring that processes obey to compliance constraints such as regulatory constraints or business rules imposed on them. Process compliance can be checked during process design time based on verification of process models and at runtime based on monitoring the compliance states of running process instances. For existing compliance monitoring approaches it remains unclear whether and how compliance violations can be predicted, although predictions are crucial in order to prepare and take countermeasures in time. This work, hence, analyzes existing literature from compliance and SLA monitoring as well as predictive process monitoring and provides an updated framework of compliance monitoring functionalities. For each compliance monitoring functionality we elicit prediction requirements and analyze their coverage by existing approaches. Based on this analysis, open challenges and research directions for predictive compliance and process monitoring are elaborated.

分析现有的合规性监测方法和预测性过程监测方法并提供一个更新的合规性监测功能框架，探讨了将PMM与PCM相结合实现下一个活动或剩余时间预测，并将预测结果映射到给定的合规性约束集的完整预测合规性监测系统。

面向流程信息系统的预测性合规监控：现状、功能和研究方向