Data Race Detection for Interrupt-Driven Programs via Bounded Model Checking

Wu, Xueguang; Yi, Wen; Chen, Liqian; Dong, Wei; Wang, Ji

doi:10.1109/sere-c.2013.33

Cited by 22 publications

(12 citation statements)

References 10 publications

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“…Furthermore, the user needs to come up with a proper bound of the context switches and specify the arrival time for interrupts. Wu et al [43] leveraged (bound) model checking tools to detect data-races in interrupt-driven programs. Kroening et al [18] also improved the CBMC bounded model checker to support the verification of interrupt-driven programs.…”

Section: Related Workmentioning

confidence: 99%

Modular verification of interrupt-driven software

Sung

Kusano

Wang

2017

2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE)

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Abstract-Interrupts have been widely used in safety-critical computer systems to handle outside stimuli and interact with the hardware, but reasoning about interrupt-driven software remains a difficult task. Although a number of static verification techniques have been proposed for interrupt-driven software, they often rely on constructing a monolithic verification model. Furthermore, they do not precisely capture the complete execution semantics of interrupts such as nested invocations of interrupt handlers. To overcome these limitations, we propose an abstract interpretation framework for static verification of interrupt-driven software that first analyzes each interrupt handler in isolation as if it were a sequential program, and then propagates the result to other interrupt handlers. This iterative process continues until results from all interrupt handlers reach a fixed point. Since our method never constructs the global model, it avoids the up-front blowup in model construction that hampers existing, non-modular, verification techniques. We have evaluated our method on 35 interrupt-driven applications with a total of 22,541 lines of code. Our results show the method is able to quickly and more accurately analyze the behavior of interrupts.

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Section: Related Workmentioning

confidence: 99%

Modular verification of interrupt-driven software

Sung

Kusano

Wang

2017

2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE)

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“…Previous research on formal verification of interrupt-driven programs uses a range of techniques, including program transformation [Kidd et al 2010;Regehr and Cooprider 2007;Wu et al 2013], explicit-state model checking [Schlich et al 2009], bounded model checking [Bucur and Kwiatkowska 2011;Li et al 2013] and predicate abstraction [Witkowski et al 2007]. None of these methods demonstrates effective verification of programs of moderate size with nested interrupts.…”

Section: Related Workmentioning

confidence: 99%

“…We briefly survey those methods most closely related to our techniques. Wu et al [2013] describe a translation from programs with nested interrupts into sequential code, which makes the assumption that interrupts may arrive after every instruction. This approach suffers from state explosion, which in our translation is addressed by an optimisation that greatly reduces the number of calls to ISRs.…”

Section: Related Workmentioning

confidence: 99%

Effective Verification for Low-Level Software with Competing Interrupts

Liang

Melham

Kroening

et al. 2017

ACM Trans. Embed. Comput. Syst.

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Interrupt-driven software is difficult to test and debug, especially when interrupts can be nested and subject to priorities. Interrupts can arrive at arbitrary times, leading to an exponential blow-up in the number of cases to consider. We present a new formal approach to verifying interrupt-driven software based on symbolic execution. The approach leverages recent advances in the encoding of the execution traces of interacting, concurrent threads. We assess the performance of our method on benchmarks drawn from embedded systems code and device drivers, and experimentally compare it to conventional approaches that use source-to-source transformations. Our results show that our method significantly outperforms these techniques. To the best of our knowledge, our work is the first to demonstrate effective verification of low-level embedded software with nested interrupts.

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“…This improves runtime performance with high precision and developer productivity. Most of the related solutions for detecting data races do target low end interrupt based, non-multithreaded embedded systems [19,20,6,23]. Therefore, these solutions can not be directly applied to the multithreaded software for ARMv7.…”

Section: Related Workmentioning

confidence: 99%

EmbedSanitizer: Runtime Race Detection Tool for 32-bit Embedded ARM

Matar

Tasiran

Unat

2017

Runtime Verification

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We propose EmbedSanitizer, a tool for detecting concurrency data races in 32-bit ARM-based multithreaded C/C++ applications. Moreover, we motivate the idea of detecting data races in embedded systems software natively; without virtualization or emulation or use of alternative architecture. Detecting data races in applications on a target hardware provides more precise results and increased throughput and hence enhanced developer productivity. EmbedSanitizer extends ThreadSanitizer, a race detection tool for 64-bit applications, to do race detection for 32-bit ARM applications. We evaluate EmbedSanitizer using PARSEC benchmarks on an ARMv7 CPU with 4 logical cores and 933MB of RAM. Our race detection results precisely match with results when the same benchmarks run on 64-bit machine using ThreadSanitizer. Moreover, the performance overhead of EmbedSanitizer is relatively low as compared to running race detection on an emulator, which is a common platform for embedded software development.

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Data Race Detection for Interrupt-Driven Programs via Bounded Model Checking

Cited by 22 publications

References 10 publications

Modular verification of interrupt-driven software

Modular verification of interrupt-driven software

Effective Verification for Low-Level Software with Competing Interrupts

EmbedSanitizer: Runtime Race Detection Tool for 32-bit Embedded ARM

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