Introduction
Streaming model transformations represent a novel class of transformations dealing with models whose elements are continuously produced or modified by a background process. Executing streaming transformations requires efficient techniques to recognize the activated transformation rules on a potentially infinite input stream. Detecting a series of events triggered by compound structural changes is especially challenging for a high volume of rapid modifications, a characteristic of an emerging class of applications built on runtime models.