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Refining Statecharts while preserving the structure and behavior

机译:完善状态图,同时保留结构和行为

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Statecharts are one of the most popular formalisms to model the behavior of reactive systems and are especially used in cyber-physical systems. Following common step-wise refinement strategies, modelers often develop and evolve Statecharts models incrementally to satisfy requirements and changes. Typically, modelers start with a more abstract model that satisfies important properties. They then refine the model gradually by introducing detail in steps that are guaranteed to preserve the important properties. The literature is rich with Statecharts refinement approaches, where the main concern is to preserve the behavior of the original model. However, they provide insufficient guarantees that the structure of the original model is preserved after refinement. This reduces the practicality of applying refinements: the structure of a Statecharts model encodes design decisions that developers must properly maintain.
机译:状态图是模拟反应系统行为的最流行形式主义之一,尤其是在网络物理系统中使用。遵循通用的逐步细化策略,建模人员通常会逐步开发和发展Statecharts模型,以满足需求和变更。通常,建模者从满足重要属性的更抽象的模型开始。然后,他们通过逐步引入细节来逐步完善模型,以确保保留重要属性。 Statecharts细化方法的文献很多,其中主要关注的是保留原始模型的行为。但是,它们不足以保证改进后保留原始模型的结构。这降低了应用优化的实用性:Statecharts模型的结构编码开发人员必须正确维护的设计决策。

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