A program transformation for faster goal-directed search

A. Lal, S. Qadeer
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引用次数: 13

Abstract

A goal-directed search attempts to reveal only relevant information needed to establish reachability (or unreachability) of the goal from the initial state of the program. The further apart the goal is from the initial state, the harder it can get to establish what is relevant. This paper addresses this concern in the context of programs with assertions that may be nested deeply inside its call graph - thus, far away interprocedurally from main. We present a source-to-source transformation on programs that lifts all assertions in the input program to the entry procedure of the output program, thus, revealing more information about the assertions close to the entry of the program. The transformation is easy to implement and applies to sequential as well as concurrent programs. We empirically validate using multiple goal-directed verifiers that applying this transformation before invoking the verifier results in significant speedups, sometimes up to an order of magnitude.
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一个程序转换为更快的目标导向搜索
目标导向搜索试图从程序的初始状态只显示建立目标可达性(或不可达性)所需的相关信息。目标离初始状态越远,就越难确定什么是相关的。本文在程序的上下文中解决了这个问题,这些程序的断言可能嵌套在其调用图中——因此,在程序间远离main。我们提供了一个程序的源到源转换,该转换将输入程序中的所有断言提升到输出程序的入口过程,从而揭示了关于接近程序入口的断言的更多信息。这种转换很容易实现,既适用于顺序程序,也适用于并发程序。我们使用多个目标导向的验证器进行经验验证,在调用验证器之前应用此转换会导致显著的加速,有时达到数量级。
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