使用不满意的内核调试过度约束的声明性模型

I. Shlyakhter, Robert Seater, D. Jackson, Manu Sridharan, Mana Taghdiri
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引用次数: 66

摘要

自由使用连词和否定的声明性模型容易受到无意的过度约束。核心提取是一种新的分析方法,它在基于对SAT(系统分析工具)的简化的检查器环境中减轻了这个问题。它利用了最近开发的SAT求解工具,提供了一组不令人满意的条款的“不令人满意的核心”,通常比整个条款集小得多。不满意的核心被映射回原始模型的语法,显示模型中发现的不相关的用户片段。这些信息对于发现和定位过度约束非常有帮助,在某些情况下可以立即确定过度约束。映射的构造是为一般化的建模语言给出的,以及模型的标记部分是不相关的说法的合理性的证明。讨论了将岩心提取应用于各种现有模型的经验。
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Debugging overconstrained declarative models using unsatisfiable cores
Declarative models, in which conjunction and negation are freely used, are susceptible to unintentional overconstraint. Core extraction is a new analysis that mitigates this problem in the context of a checker based on reduction to SAT (systems analysis tools). It exploits a recently developed facility of SAT solvers that provides an "unsatisfiable core" of an unsatisfiable set of clauses, often much smaller than the clause set as a whole. The unsatisfiable core is mapped back into the syntax of the original model, showing the user fragments of the model found to be irrelevant. This information can be a great help in discovering and localizing overconstraint, and in some cases pinpoints it immediately. The construction of the mapping is given for a generalized modeling language, along with a justification of the soundness of the claim that the marked portions of the model are irrelevant. Experiences in applying core extraction to a variety of existing models are discussed.
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