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• W3209468624 abstract "A recent case study from AWS by Chong et al. proposes an effective methodology for Bounded Model Checking in industry. In this paper, we report on a followup case study that explores the methodology from the perspective of three research questions: (a) can proof artifacts be used across verification tools; (b) are there bugs in verified code; and (c) can specifications be improved. To study these questions, we port the verification tasks for aws-c-common library to SeaHorn and KLEE. We show the benefits of using compiler semantics and cross-checking specifications with different verification techniques, and call for standardizing proof library extensions to increase specification reuse. The verification tasks discussed are publicly available online." @default.
• W3209468624 created "2021-11-08" @default.
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• W3209468624 date "2021-01-01" @default.
• W3209468624 modified "2023-10-17" @default.
• W3209468624 title "Verifying Verified Code" @default.
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• W3209468624 doi "https://doi.org/10.1007/978-3-030-88885-5_13" @default.
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