Abstract
This paper presents a constraint-based method for generating universally quantified loop invariants over array and scalar variables. Constraints are solved by means of an SMT solver, thus leveraging recent advances in SMT solving for the theory of non-linear arithmetic. The method has been implemented in a prototype program analyzer, and a wide sample of examples illustrating its power is shown.
Partially supported by Spanish MEC/MICINN under grant TIN 2010-21062-C02-01.
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Larraz, D., Rodríguez-Carbonell, E., Rubio, A. (2013). SMT-Based Array Invariant Generation. In: Giacobazzi, R., Berdine, J., Mastroeni, I. (eds) Verification, Model Checking, and Abstract Interpretation. VMCAI 2013. Lecture Notes in Computer Science, vol 7737. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35873-9_12
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DOI: https://doi.org/10.1007/978-3-642-35873-9_12
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