Adaptive Case Management (ACM) enables knowledge workers to collaboratively handle unforeseen circumstances by making ad hoc changes of case instances at runtime. Therefore, it is crucial to ensure that various structural elements of an ACM case, such as goals, subprocesses and so on, remain consistent over time. To the best of our knowledge, no studies in the literature provide adequate support for structural consistency checking of ACM. In this paper, we introduce a formal categorization of ACM's structural features and potential inconsistencies. Based on this categorization, we develop a novel approach for structural consistency checking of ACM cases. Our approach, based on model checking and graph algorithms, can detect a wide range of inconsistencies of ACM's structural elements. The evaluation of our approach shows reasonable performance and scalability.

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