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Streaming model transformations represent a novel class of transformations to manipulate models whose elements are continuously produced or modified in high volume and with rapid rate of change. Executing streaming transformations requires efficient techniques to recognize activated transformation rules over a live model and a potentially infinite stream of events. In this paper, we propose foundations of streaming model transformations by innovatively integrating incremental model query,doi:10.1007/s10270-016-0533-1 pmid:29449795 pmcid:PMC5807515 fatcat:57era3rizfbhxmlvopue6dyuge