Abstract
We have implemented an improved memory model for ESBMC which better takes into account C’s memory alignment rules and optimizes the generated SMT formulae. This simultaneously improves ESBMC’s precision and performance.
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Morse, J., Ramalho, M., Cordeiro, L., Nicole, D., Fischer, B. (2014). ESBMC 1.22. In: Ábrahám, E., Havelund, K. (eds) Tools and Algorithms for the Construction and Analysis of Systems. TACAS 2014. Lecture Notes in Computer Science, vol 8413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54862-8_31
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DOI: https://doi.org/10.1007/978-3-642-54862-8_31
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