论文标题

混合范式过程模型的一致性检查

Conformance Checking of Mixed-paradigm Process Models

论文作者

van Dongen, Boudewijn, De Smedt, Johannes, Di Ciccio, Claudio, Mendling, Jan

论文摘要

混合范式工艺模型整合了彼得里网和声明的程序和声明性表示的优势。它们在过程挖掘方面特别有趣,因为它们允许以紧凑的方式捕获复杂的行为。对于过程挖掘的混合范式模型的增殖的关键研究挑战是缺乏相应的一致性检查技术。在本文中,我们通过设计与混合范式模型相互交织的状态空间的第一种方法来解决此问题。更具体地说,我们的方法使用基于对齐的重播来探索状态空间并以程序方式计算痕量适应性。在每个州,声明性约束都会单独更新,以使违规禁用相应的活动。我们的技术通过尊重所有正交声明限制,为最佳一致性提供了有效的重播。我们已经在舞会中实施了我们的技术,并在使用现实世界事件日志的评估中演示了其性能。

Mixed-paradigm process models integrate strengths of procedural and declarative representations like Petri nets and Declare. They are specifically interesting for process mining because they allow capturing complex behaviour in a compact way. A key research challenge for the proliferation of mixed-paradigm models for process mining is the lack of corresponding conformance checking techniques. In this paper, we address this problem by devising the first approach that works with intertwined state spaces of mixed-paradigm models. More specifically, our approach uses an alignment-based replay to explore the state space and compute trace fitness in a procedural way. In every state, the declarative constraints are separately updated, such that violations disable the corresponding activities. Our technique provides for an efficient replay towards an optimal alignment by respecting all orthogonal Declare constraints. We have implemented our technique in ProM and demonstrate its performance in an evaluation with real-world event logs.

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