On the Implementation of Data-Breakpoints Based Race Detection for Linux Kernel Modules.
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Abstract
An important class of problems in software are race conditions. Errors of this class are becoming more common and more dangerous with the development of multi-processor and multi-core systems, especially in such a fundamentally parallel environment as an operating system kernel. The paper overviews some of existing approaches to detect race conditions including DataCollider system based on concurrent memory access tracking. RaceHound, a race condition detection system for Linux drivers based on similar principles as DataCollider is presented.
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Proceedings of the Spring/Summer Young Researchers' Colloquium on Software Engineering, 2013 (7)
DOI: 10.15514/SYRCOSE-2013-7-14
978-5-91474-020-4