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A Case for Using Data-Flow Analysis to Optimize Incremental Scope-Bounded Checking

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Abstract State Machines, Alloy, B and Z (ABZ 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5977))

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Abstract

In software verification, scope-bounded checking of programs has become an effective technique for finding subtle bugs. Given bounds (that are iteratively relaxed) on input size and length of execution paths, a program and its correctness specifications are translated into a formula, which is solved using off-the-shelf solvers – a solution to the formula is a counterexample to the correctness specification.

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References

  1. Dennis, G., Chang, F.S.H., Jackson, D.: Modular verification of code with SAT. In: ISSTA (2006)

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  2. Jackson, D., Vaziri, M.: Finding bugs with a constraint solver. In: ISSTA (2000)

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  3. Shao, D., Khurshid, S., Perry, D.E.: An incremental approach to scope-bounded checking using a lightweight formal method. In: Cavalcanti, A., Dams, D.R. (eds.) FM 2009: Formal Methods. LNCS, vol. 5850, pp. 757–772. Springer, Heidelberg (2009)

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Shao, D., Gopinath, D., Khurshid, S., Perry, D.E. (2010). A Case for Using Data-Flow Analysis to Optimize Incremental Scope-Bounded Checking. In: Frappier, M., Glässer, U., Khurshid, S., Laleau, R., Reeves, S. (eds) Abstract State Machines, Alloy, B and Z. ABZ 2010. Lecture Notes in Computer Science, vol 5977. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11811-1_30

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  • DOI: https://doi.org/10.1007/978-3-642-11811-1_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11810-4

  • Online ISBN: 978-3-642-11811-1

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