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Understanding changes in a manufacturing system is of utmost importance to effectively manage its evolution. This article proposes a pattern-based approach for capturing and describing behavioral changes by integrating recent advantages in the fields of system monitoring and model differencing. Observed changes are described as lifted model differences between two model versions. This helps in explaining observable evolution with a change-first approach.

Using model differencing to reason about observable behavior changes of manufacturing systems