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CAV2024顶会

Syntax-Guided Automated Program Repair for Hyperproperties

Raven Beutner, Tzu-Han Hsu, Borzoo Bonakdarpour, Bernd Finkbeiner

2024年份
4被引次数
1顶会引用

摘要

Abstract 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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