Better generalization in IC3

Zyad Hassan, Aaron R. Bradley, F. Somenzi
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引用次数: 62

Abstract

An improved clause generalization procedure for IC3 is presented. Whereas standard generalization extracts a relatively inductive clause from a single state, called a counterexample to induction (CTI), the new procedure also extracts such clauses from other states, called counterexamples to generalization (CTG), that interfere with the primary generalization attempt. The motivation is to enable IC3 to explore states farther from the error states than are CTIs while remaining property-focused. CTGs are strong candidates for being farther but still backward reachable. Significant reductions in the maximum depth reached by IC3's priority queue-directed explicit backward search indicate that this intention is achieved in practice. The effectiveness of the new procedure is established in two independent implementations of IC3, which demonstrate an increase of 17 and 27, respectively, in the number of solved HWMCC benchmarks.
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IC3中更好的泛化
提出了一种改进的IC3子句泛化方法。标准泛化从单个状态中提取相对归纳的子句,称为归纳反例(CTI),而新过程还从干扰初级泛化尝试的其他状态中提取此类子句,称为泛化反例(CTG)。其动机是使IC3能够探索比cti更远离错误状态的状态,同时保持以属性为中心。ctg是更远但仍然落后的候选物。IC3的优先级队列定向显式向后搜索所达到的最大深度的显著减少表明,这种意图在实践中是实现的。新程序的有效性在IC3的两个独立实现中得到了验证,分别表明解决的HWMCC基准的数量增加了17个和27个。
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