{"id":959013,"date":"2023-08-08T10:48:36","date_gmt":"2023-08-08T17:48:36","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=959013"},"modified":"2023-08-08T10:48:36","modified_gmt":"2023-08-08T17:48:36","slug":"modularity-code-specialization-and-zero-cost-abstractions-for-program-verification","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/modularity-code-specialization-and-zero-cost-abstractions-for-program-verification\/","title":{"rendered":"Modularity, Code Specialization, and Zero-Cost Abstractions for Program Verification"},"content":{"rendered":"

For all the successes in verifying low-level, efficient, security-critical code, little has been said or studied about the structure, architecture and engineering of such large-scale proof developments.<\/p>\n

We present the design, implementation and evaluation of a set of language-based techniques that allow the programmer to modularly write and verify code at a high level of abstraction, while retaining control over the compilation process and producing high-quality, zero-overhead, low-level code suitable for integration into mainstream software.<\/p>\n

We implement our techniques within the F* proof assistant, and specifically its shallowly-embedded Low* toolchain that compiles to C. Through our evaluation, we establish that our techniques were critical in scaling the popular HACL* library past 100,000 lines of verified source code, and brought about significant gains in proof engineer productivity.<\/p>\n

The exposition of our methodology converges on one final, novel case study: the streaming API, a finicky API that has historically caused many bugs in high-profile software. Using our approach, we manage to capture the streaming semantics in a generic way, and apply it “for free” to over a dozen use-cases. Six of those have made it into the reference implementation of the Python programming language, replacing the previous CVE-ridden code.<\/p>\n","protected":false},"excerpt":{"rendered":"

For all the successes in verifying low-level, efficient, security-critical code, little has been said or studied about the structure, architecture and engineering of such large-scale proof developments. We present the design, implementation and evaluation of a set of language-based techniques that allow the programmer to modularly write and verify code at a high level of 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