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Brief Announcement: MP-State: State-Aware Software Model Checking of Message-Passing Systems

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Stabilization, Safety, and Security of Distributed Systems (SSS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7596))

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Abstract

Software model checking [4] is a useful and practical branch of verification for verifying the implementation of the system. The wide usability comes at a price of low time and space efficiency. In fact, model checking of even simple single-process programs can take several hours using state-of-the-art techniques [6]. Verification complexity gets even worse for concurrent programs that simultaneously execute loosely coupled processes. Verification efficiency can be greatly improved by capturing the state of the program, a technique generally referred to as stateful model checking [2]. Intuitively, state capture enables to detect that two states are identical and, therefore, to consider only a representative state for verification. Unfortunately, capturing the state in general software systems can be very hard, even if the entire state of the system resides in the (local) memory. As a result, certain verification approaches (commonly called stateless model checking) do not capture the system’s state at all [4]. Stateful model checking is in principle possible for software, however, at a price of considerable overhead. Therefore, stateful model checking is efficient only if the achieved reduction of redundantly explored states compensate for the overhead.

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References

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© 2012 Springer-Verlag Berlin Heidelberg

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Muftuoglu, C.A., Bokor, P., Suri, N. (2012). Brief Announcement: MP-State: State-Aware Software Model Checking of Message-Passing Systems. In: Richa, A.W., Scheideler, C. (eds) Stabilization, Safety, and Security of Distributed Systems. SSS 2012. Lecture Notes in Computer Science, vol 7596. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33536-5_18

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  • DOI: https://doi.org/10.1007/978-3-642-33536-5_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33535-8

  • Online ISBN: 978-3-642-33536-5

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