Visible to the public An automated framework to support testing for process-level race conditionsConflict Detection Enabled

TitleAn automated framework to support testing for process-level race conditions
Publication TypeJournal Article
Year of Publication2017
AuthorsTingting Yu, Witawas Srisa-an, Gregg Rothermel
JournalSoftware: Testing, Verification, and Reliability
Date Published05/2017
KeywordsAugust'17, CMU, Kernel, Metrics, Processes, race conditions, Race Vulnerability Study and Hybrid Race Detection, Scalability and Composability, Software Testing, virtual platforms

Race conditions are difficult to detect because they usually occur only under specific execution interleavings. Numerous program analysis and testing techniques have been proposed to detect race conditions between threads on single applications. However, most of these techniques neglect races that occur at the process level due to complex system event interactions. This article presents a framework, SIMEXPLORER, that allows engineers to effectively test for process-level race conditions. SIMEXPLORER first uses dynamic analysis techniques to observe system execution, identify program locations of interest, and report faults related to oracles. Next, it uses virtualization to achieve the fine-grained controllability needed to exercise event interleavings that are likely to expose races. We evaluated the effectiveness of SIMEXPLORER on 24 real-world applications containing both known and unknown process-level race conditions. Our results show that SIMEXPLORER is effective at detecting these race conditions, while incurring an overhead that is acceptable given its effectiveness improvements.

Citation Keynode-36387

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