环路分析:静态环路终止分析

Xiaofei Xie, Bihuan Chen, Liang Zou, Shang-Wei Lin, Yang Liu, Xiaohong Li
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引用次数: 8

摘要

循环终止是证明系统正确性和保证系统始终响应的一个重要问题。现有的循环终止分析技术主要依赖于排序函数的综合,这往往是昂贵的。本文提出了一种基于路径终止分析和路径依赖推理的环路终止算法Loopster。Loopster采用分而治之的方法:(1)从目标多路径环路中提取单个路径并分析每条路径的终止,(2)分析每条路径之间的依赖关系,然后(3)根据路径之间的关系确定目标环路的整体终止。我们通过将Loopster应用于循环终止竞争基准和三个实际项目来评估Loopster。结果表明,与最先进的工具相比,Loopster在大多数循环中都是有效的,具有更好的精度和20倍以上的性能改进。
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Loopster: static loop termination analysis
Loop termination is an important problem for proving the correctness of a system and ensuring that the system always reacts. Existing loop termination analysis techniques mainly depend on the synthesis of ranking functions, which is often expensive. In this paper, we present a novel approach, named Loopster, which performs an efficient static analysis to decide the termination for loops based on path termination analysis and path dependency reasoning. Loopster adopts a divide-and-conquer approach: (1) we extract individual paths from a target multi-path loop and analyze the termination of each path, (2) analyze the dependencies between each two paths, and then (3) determine the overall termination of the target loop based on the relations among paths. We evaluate Loopster by applying it on the loop termination competition benchmark and three real-world projects. The results show that Loopster is effective in a majority of loops with better accuracy and 20 ×+ performance improvement compared to the state-of-the-art tools.
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