Detecting atomic-set serializability violations in multithreaded programs through active randomized testing

Concurrency bugs are notoriously difficult to detect because there can be vast combinations of interleavings among concurrent threads, yet only a small fraction can reveal them. Atomic-set serializability characterizes a wide range of concurrency bugs, including data races and atomicity violations....

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Vydáno v:2010 ACM/IEEE 32nd International Conference on Software Engineering Ročník 1; s. 235 - 244
Hlavní autoři: Lai, Zhifeng, Cheung, S. C., Chan, W. K.
Médium: Konferenční příspěvek
Jazyk:angličtina
japonština
Vydáno: New York, NY, USA ACM 01.05.2010
IEEE
Edice:ACM Conferences
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ISBN:9781605587196, 1605587192
ISSN:0270-5257
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Shrnutí:Concurrency bugs are notoriously difficult to detect because there can be vast combinations of interleavings among concurrent threads, yet only a small fraction can reveal them. Atomic-set serializability characterizes a wide range of concurrency bugs, including data races and atomicity violations. In this paper, we propose a two-phase testing technique that can effectively detect atomic-set serializability violations. In Phase I, our technique infers potential violations that do not appear in a concrete execution and prunes those interleavings that are violation-free. In Phase II, our technique actively controls a thread scheduler to enumerate these potential scenarios identified in Phase I to look for real violations. We have implemented our technique as a prototype system AssetFuzzer and applied it to a number of subject programs for evaluating concurrency defect analysis techniques. The experimental results show that AssetFuzzer can identify more concurrency bugs than two recent testing tools RaceFuzzer and AtomFuzzer.
ISBN:9781605587196
1605587192
ISSN:0270-5257
DOI:10.1145/1806799.1806836