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AUTOMATIC COMPOSITION OF MODEL TRANSFORMATIONS

机译:模型转换的自动组成

摘要

Techniques for composition of model transformations from a predetermined set of model transformations. A state machine is provided in memory. The states are defined in the state machine in terms of predetermined model attributes. In response to specification of a target state for an input model to be transformed, an execution sequence in the state machine, between a start state corresponding to the input model and an end state corresponding to the specified target state, is selected. Each transformation in the selected sequence is then successively executed on the input model. After executing each transformation in the selected sequence, the transformed input model state is compared to the model state defined in the state machine to determine if the selected sequence is inoperable for the input model. If so, an alternative execution sequence in the state machine, between the input model state and the specified target state, is selected.
机译:由预定的一组模型转换组成模型转换的技术。内存中提供了状态机。在状态机中根据预定的模型属性定义状态。响应于对要转换的输入模型的目标状态的指定,在状态机中选择与输入模型相对应的开始状态与与指定的目标状态相对应的结束状态之间的执行顺序。然后,在输入模型上依次执行所选序列中的每个转换。在按选定的顺序执行每个变换之后,将变换后的输入模型状态与状态机中定义的模型状态进行比较,以确定选定的序列对于输入模型是否不可操作。如果是这样,则在状态机中选择输入模型状态和指定目标状态之间的替代执行顺序。

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