A Method for Predicting Two-Variable Atomicity Violations

Zhuo Sun, Reng Zeng, Xudong He
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引用次数: 5

Abstract

As the most common non-deadlock concurrency bugs, atomicity violations are extremely hard to detect during testing since the exhaustive testing of a multi-threaded program is impossible because of the large number of interleavings. The studies in recent years have mainly focused on single-variable atomicity violation. However, those methods are unable to predict or find atomicity violations with multiple variables involved. Many variables are inherently correlated and need to be accessed together with their correlated peers in a consistent manner. These variables need to be either updated together consistently or accessed together to avoid inconsistent update or reading. This paper presents a method for predicting two-variable atomicity violation, based on access correlation between variables and atomicity violation pattern of variable accesses, including algorithms to infer access correlation between variables and to predict atomicity violation using model checking. The effectiveness of our method is evaluated with several real-world systems.
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一种预测双变量原子性违反的方法
原子性违反是最常见的非死锁并发性错误,在测试期间很难检测到,因为由于大量的交错,不可能对多线程程序进行详尽的测试。近年来的研究主要集中在单变量原子性违背上。然而,这些方法无法预测或发现涉及多个变量的原子性违规。许多变量本质上是相关的,需要以一致的方式与其相关的对等点一起访问。这些变量需要一致地一起更新或一起访问,以避免不一致的更新或读取。本文提出了一种基于变量间访问相关性和变量访问原子性违反模式的双变量原子性违反预测方法,包括变量间访问相关性推断和模型检验预测原子性违反的算法。我们的方法的有效性与几个现实世界的系统进行了评估。
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