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Lazy Decision Diagrams for Word-Level Model Manipulation in Software Verification

机译:用于软件验证中的词级模型操纵的惰性决策图

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Word-level predicates involve high-level descriptions of integer variables and can be complex to represent and manipulate with traditional decision diagrams like BDDs (binary decision diagrams) and MDDs (multiple-valued decision diagrams). We propose a new type of decision diagram nodes, called LD-nodes (lazy decision nodes), for word-level inequalities that allow for lazy evaluation. Such nodes can be incorporated in BDDs, MDDs, and CRDs (clock-restriction diagrams). We present algorithms for operations on diagrams with LDD nodes. We then report our experiment of our technology with several benchmarks. A library implementing the approach is available at Source Forge web page for project REDLIB.
机译:单词级谓词涉及整数变量的高级描述,使用传统的决策图(例如BDD(二进制决策图)和MDD(多值决策图))表示和操作可能很复杂。我们提出了一种新型的决策图节点,称为LD节点(惰性决策节点),用于单词级不等式,可以进行惰性评估。可以将此类节点合并到BDD,MDD和CRD(时钟限制图)中。我们提出了在具有LDD节点的图上进行运算的算法。然后,我们用几个基准报告我们对技术的实验。在Source Forge网页上可以找到用于项目REDLIB的实现该方法的库。

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