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Matching and Merging of Statecharts Specifications

机译:状态图规范的匹配和合并

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Model Management addresses the problem of managing an evolving collection of models, by capturing the relationships between models and providing well-defined operators to manipulate them. In this paper, we describe two such operators for manipulating hierarchical Statecharts: Match, for finding correspondences between models, and Merge, for combining models with respect to known correspondences between them. Our Match operator is heuristic, making use of both static and behavioural properties of the models to improve the accuracy of matching. Our Merge operator preserves the hierarchical structure of the input models, and handles differences in behaviour through parameterization. In this way, we automatically construct merges that preserve the semantics of Statecharts models. We illustrate and evaluate our work by applying our operators to AT&T telecommunication features.
机译:模型管理通过捕获模型之间的关系并提供定义明确的运算符来操纵模型,从而解决了管理不断发展的模型集合的问题。在本文中,我们描述了两个用于操纵分层状态图的运算符:Match(用于查找模型之间的对应关系)和Merge(用于合并模型)以了解它们之间的已知对应关系。我们的Match运算符是启发式的,可以同时利用模型的静态和行为属性来提高匹配的准确性。我们的Merge运算符保留输入模型的层次结构,并通过参数化处理行为差异。通过这种方式,我们可以自动构造保留Statecharts模型语义的合并。我们通过将运营商应用于AT&T电信功能来说明和评估我们的工作。

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