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This work introduces a framework for the instant and incremental transformation of changes among models. It can be configured to understand where and when changes happen in a given source model and the impact these changes have onto a given target model. It can also be configured to select translation rules as needed to update the target model. Incremental transformation is an alternative to the batch transformation and is significantly more efficient in maintaining the synchronicity among large-scale models.