计算机科学 ›› 2010, Vol. 37 ›› Issue (9): 245-248.
• 人工智能 • 上一篇 下一篇
李义年,曹占涛,郑德生,杨国武
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LI Yi-nian,CAO Zhan-tao,ZHENG De-sheng,YANG Guo-wu
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摘要： 广义符号轨迹赋值(Symbolic Trajectory Evaluation)引入了符号变量和抽象技术，解决了验证中状态爆炸的问题，但是却为寻找反例制造了很多障碍。针对此，提出了一种高效的寻找反例的算法，它应用集合的概念，通过回溯在父子路径之间进行集合的交集，可以高效地解决抽象引起的问题。并对此算法进行改进，解决了符号变量带来的问题。
关键词: 广义符号轨迹赋值，反例，形式化验证，符号模型验证，抽象
Abstract: Generalized Symbolic trajectory evaluation is a powerful model checking technique which introduces symbolic quaternary and symbolic variables into symbolic quaternary assignments. But to find Counter-example has obstacles. In this paper, we presented an solution to search Counter-example. It uses set Intersection to backward simulation to generalized Counter-example. And we extended the solution to solve the problems from symbolic variable.
Key words: Generalized symbolic trajectory evaluation,Counter-example,Formal verification,Symbolic model-checking,Abstraction
李义年,曹占涛,郑德生,杨国武. 基于广义符号轨迹赋值模型验证的反例的产生[J]. 计算机科学, 2010, 37(9): 245-248. https://doi.org/
LI Yi-nian,CAO Zhan-tao,ZHENG De-sheng,YANG Guo-wu. Counter-example Generation in Generalized Symbolic Trajectory Evaluation[J]. Computer Science, 2010, 37(9): 245-248. https://doi.org/
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