论文标题
过程感知信息系统中的预测合规性监测：最新技术，功能，研究方向
Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions
论文作者
论文摘要
业务流程合规性是业务流程管理的关键领域，旨在确保过程遵守遵守法规约束或对其施加的业务规则等合规性约束。基于过程模型的验证和运行时，可以根据监视运行过程实例的合规性状态来检查过程合规性。对于现有的合规性监控方法，尚不清楚是否可以预测以及如何预测违规行为，尽管预测至关重要，以便及时准备和进行对策。因此，这项工作从合规性监控以及预测过程监视中分析了现有文献，并提供了合规性监视功能的更新框架。此外，它提高了全面的预测合规性监测系统的愿景，该系统将现有的谓词预测方法与使用PPM具有不同预测目标的想法，例如下一个活动或剩余时间进行预测和随后的预测结果映射到给定的一组合规性约束（PCM）。对于每个合规性监控功能，我们征得PCM系统的要求，并通过现有方法评估其覆盖范围。根据评估，详细阐述了实现全面PCM系统的公开挑战和研究方向。
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 monitoring as well as predictive process monitoring and provides an updated framework of compliance monitoring functionalities. Moreover, it raises the vision of a comprehensive predictive compliance monitoring system that integrates existing predicate prediction approaches with the idea of employing PPM with different prediction goals such as next activity or remaining time for prediction and subsequent mapping of the prediction results onto the given set of compliance constraints (PCM). For each compliance monitoring functionality we elicit PCM system requirements and assess their coverage by existing approaches. Based on the assessment, open challenges and research directions realizing a comprehensive PCM system are elaborated.
