Logs of real-life processes often feature uncertainty pertaining the recorded timestamps, data values, and/or events. We consider the problem of checking conformance of uncertain logs against data-aware reference processes. Specifically, we show how to solve it via SMT encodings, lifting previous work on data-aware SMT-based conformance checking to this more sophisticated setting. Our approach is modular, in that it homogeneously accommodates for different types of uncertainty. Moreover, using appropriate cost functions, different conformance checking tasks can be addressed. We show the correctness of our approach and witness feasibility through a proof-of-concept implementation.
翻译:实际生活过程的日志往往含有与所记录的时间戳、数据值和/或事件有关的不确定性。我们考虑了对照数据认知参考程序检查不确定日志是否符合规定的问题。具体地说,我们通过SMT编码来说明如何解决这个问题,将以前关于数据认知SMT的合规性检查工作提升到这一更复杂的环境。我们的方法是模块化的,因为它对不同类型的不确定性具有同一性。此外,利用适当的成本功能,可以处理不同的合规性检查任务。我们通过验证概念的实施,显示了我们的方法的正确性和证人的可行性。