Conformance Checking of Mixed-paradigm Process Models
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Nov 2020.
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Citing papers per year: 2025: 1; 2026: 2.
3 papers.
- 2025DeclareAligner: A Leap Towards Efficient Optimal Alignments for Declarative Process Model Conformance Checkingcited by 1
- 2026On the Hybrid Nature of ABPMS Process Frames and its Implications on Automated Process Discoverycited by 0
- 2026Supporting Autonomous Process Execution within a Multi-Perspective Constraint Frame via Numeric Planningcited by 0
- 2026Supporting Autonomous Process Execution within a Multi-Perspective Constraint Frame via Numeric Planning18 Jul 2026
- 2026On the Hybrid Nature of ABPMS Process Frames and its Implications on Automated Process Discovery24 Apr 2026
- 2025DeclareAligner: A Leap Towards Efficient Optimal Alignments for Declarative Process Model Conformance Checking13 Mar 2025