一种提高面向对象形式化模型可靠性的策略

Guo Xie, F. Qian, Xinhong Hei
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引用次数: 0

摘要

针对用自然语言编写的系统需求规范建立的形式模型存在歧义的问题,提出了一种将需求函数与数据结构分离的方法来提高形式模型的正确性。具体而言,在形式化之前,创建能够对系统过程进行象征性分析的混合自动机来表征系统行为。其次,建立UML模型,提高系统结构的准确性。最后,在混合自动机和UML模型的基础上建立了面向对象的形式化模型。
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A Strategy to Improve the Reliability of Object-Oriented Formal Models
Considering the challenges in guaranteeing the reliability of a formal model which is established in according with system requirements specification written in natural language with ambiguities, a novel strategy is proposed to improve the correctness of formal model by separating requirement functions and data structures. Specifically, hybrid automata which can analyze system process symbolically are created to characterize system behaviors before formalization. Secondly, UML models are created to improve the accuracy of system structure. Lastly, an object-oriented formal model is established based on the hybrid automata and UML models.
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