语法引导的超属性自动程序修复

Raven Beutner, Tzu-Han Hsu, Borzoo Bonakdarpour, Bernd Finkbeiner
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引用次数: 0

摘要

我们研究了根据时态超属性自动修复无限态软件程序的问题。首先,我们提出了一种基于符号执行、约束生成和语法引导的修复表达式合成(SyGuS)的时态逻辑 HyperLTL 的修复方法。为了提高修复质量,我们引入了透明修复的概念,目的是找到一个尽可能接近原始程序的补丁。在实际应用中,我们开发了一种迭代修复方法。在这里,我们寻找一连串越来越接近原始程序行为的修补程序。我们在一个原型中实现了我们的方法,并报告了使用现成SyGuS求解器取得的令人鼓舞的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Syntax-Guided Automated Program Repair for Hyperproperties
We study the problem of automatically repairing infinite-state software programs w.r.t. temporal hyperproperties. As a first step, we present a repair approach for the temporal logic HyperLTL based on symbolic execution, constraint generation, and syntax-guided synthesis of repair expression (SyGuS). To improve the repair quality, we introduce the notation of a transparent repair that aims to find a patch that is as close as possible to the original program. As a practical realization, we develop an iterative repair approach. Here, we search for a sequence of repairs that are closer and closer to the original program's behavior. We implement our method in a prototype and report on encouraging experimental results using off-the-shelf SyGuS solvers.
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