The software toolchain includes static analyzers to check assertionsabout your program; optimizing compilers to translate your program tomachine language; operating systems and libraries to supply contextfor your program. The Verified Software Toolchainproject assures with machine-checked proofsthat the assertions claimed at the top of the toolchain really hold inthe machine-language program, running in the operating-system context.

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Research results

Verifiable C tools (diagram at left)
Book, software, documentation

Technical overviewof the VST logic

Mechanized Software Library
for Separation Logic and Indirection Theory

VeriStarcertified entailment checker

VeriSmallfoundationally verified shape analysis

Participants

Andrew W. Appel
Princeton University

Lennart Beringer
Princeton University

William Mansky
U. of Illinois at Chicago

Qinshi Wang
Princeton University

Alumni, collaborators, and affiliated researchers

David Naumann
Stevens Inst. of Tech.

Santiago Cuellar
Princeton University

Qinxiang Cao
Princeton U

Gordon Stewart
Princeton U

Josiah Dodds
Princeton U

Robert Dockins
Princeton U

Aquinas Hobor
Nat'l U. Singapore

Xavier Leroy
INRIA

Rationale

In some application domains it is not enough to build reliablesoftware systems, one wants proved-correct software. This is the casefor safety-critical systems (where software bugs can cause injury ordeath) and for security-critical applications (where an attacker isdeliberately searching for, and exploiting, software bugs). Sinceproofs are large and complex, the proof-checking must bemechanized. Machine-checked proofs of real software systems aredifficult, but now should be possible, given the recent advances inthe theory and engineering of mechanized proof systems applied tosoftware verification. But there are several challenges:

Real software systems are usually built from components in differentprogramming languages.
Some parts of the program need full correctness proofs, which mustbe constructed with great effort; other parts need only safety proofs,which can be constructed automatically.
One reasons about correctness at the source-code level, but oneruns a machine-code program translated by a compiler; the compilermust be proved correct.
These proofs about different properties, with respect to differentprogramming languages, must be integrated together end-to-endin a way that is also proved correct and machine-checked.

We address these challenges by definingVerifiable C, a program logic for theC programming language.Verifiable C is proved sound with respect to theoperational semantics of CompCert C;in turn, the CompCert verified optimizing C compiler isproved correct with respect to the assembly-languagesemantics of the PowerPC, ARM, and x86 processors.

Publications

Abstraction and Subsumption in Modular Verification of C Programs, by Lennart Beringer and Andrew W. Appel. FM2019: 23rd International Symposium on Formal Methods, October 2019.

VST-Floyd: A separation logic tool to verify correctness of C programs, by Qinxiang Cao, Lennart Beringer, Samuel Gruetter, Josiah Dodds, and Andrew W. Appel. Journal of Automated Reasoning 61(1), pp. 367-422, 2018.(Local copy)

A verified messaging system, by William Mansky, Andrew W. Appel, and Aleksey Nogin. OOPSLA'17: ACM Conference on Object-Oriented Programming Systems, Languages, and Applications, October 2017. Proceedings of the ACM on Programming Languages (PACM/PL) volume 1, issue OOPSLA, paper 87, 2017.

Bringing order to the separation logic jungle, by Qinxiang Cao, Santiago Cuellar, and Andrew W. Appel. APLAS'17: 15th Asian Symposium on Programming Languages and Systems, November 2017.

Modular Verification for Computer Security, by Andrew W. Appel. In CSF 2016: 29th IEEE Computer Security Foundations Symposium, June 2016.

Verified Correctness and Security of OpenSSL HMAC,by Lennart Beringer, Adam Petcher, Katherine Q. Ye, and Andrew W. Appel.In 24th USENIX Security Symposium, pages 207-221, August 2015.

Compositional CompCert,by Gordon Stewart, Lennart Beringer, Santiago Cuellar, and Andrew W. Appel.POPL 2015: The 42nd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, pages 275-287, January 2015.(local copy)

Second Edition: Verification of a Cryptographic Primitive: SHA-256.This is a very minor revision (as explained in its abstract) of Verification of a Cryptographic Primitive: SHA-256, by Andrew W. Appel, ACM Transactions on Programming Languages and Systems37(2) 7:1-7:31, April 2015.

Verified Correctness and Security of mbedTLS HMAC-DRBG by Katherine Q. Ye, Matthew Green, Naphat Sanguansin, Lennart Beringer, Adam Petcher, and Andrew W. Appel. CCS'17: ACM Conference on Computer and Communications Security, October 2017.

Verified Heap Theorem Prover by Paramodulation, by Gordon Stewart, Lennart Beringer, and Andrew W. Appel.In ICFP 2012: The 17th ACM SIGPLAN International Conference on Functional Programming, September 2012.

A Certificate Infrastructure for Machine-Checked Proofs of Conditional Information Flow, by Torben Amtoft, Josiah Dodds, Zhi Zhang, Andrew Appel, Lennart Beringer, John Hatcliff, Xinming Ou and Andrew Cousino. First Conference on Principles of Security and Trust (POST 2012),March 2012.

VeriSmall: Verified Smallfoot Shape Analysis, by Andrew W. Appel.In CPP 2011: First International Conference on Certified Programs and Proofs, December 2011.

Relational Decomposition, by Lennart Beringer.Proceedings of the Second International Conference on InteractiveTheorem Proving (ITP 2011), pages 39-54, August 2011. Springer LNCS 6898.

Verified Software Toolchain, by Andrew W. Appel.In ESOP 2011: 20th European Symposium on Programming, LNCS 6602, pp. 1-17, March 2011.

Relational program logics in decomposed style, by Lennart Beringer, July 2010.

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Formal Verification of Coalescing Graph-Coloring Register Allocation, by Sandrine Blazy, Benoit Robillard, and Andrew W. Appel.In ESOP 2010: 19th European Symposium on Programming, March 2010. Active

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