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RustHorn: CHC-based verification for Rust programs
Reduction to satisfiability of constrained Horn clauses (CHCs) is a widely studied approach
to automated program verification. Current CHC-based methods, however, do not work very …
to automated program verification. Current CHC-based methods, however, do not work very …
[PDF][PDF] Solving constrained Horn clauses modulo algebraic data types and recursive functions.
Authors' addresses: Hari Govind VK, Department of Electrical and Computer Engineering,
University of Waterloo, Canada, hgvk94@ gmail. com; Sharon Shoham, Tel-Aviv University …
University of Waterloo, Canada, hgvk94@ gmail. com; Sharon Shoham, Tel-Aviv University …
Hyperproperty verification as CHC satisfiability
Hyperproperties specify the behavior of a system across multiple executions, and are an
important extension of regular temporal properties. So far, such properties have resisted …
important extension of regular temporal properties. So far, such properties have resisted …
Beyond the elementary representations of program invariants over algebraic data types
First-order logic is a natural way of expressing properties of computation. It is traditionally
used in various program logics for expressing the correctness properties and certificates …
used in various program logics for expressing the correctness properties and certificates …
Data-driven inference of representation invariants
A representation invariant is a property that holds of all values of abstract type produced by a
module. Representation invariants play important roles in software engineering and …
module. Representation invariants play important roles in software engineering and …
Towards benchmarking of Solidity verification tools
Formal verification of smart contracts has become a hot topic in academic and industrial
research, given the growing value of assets managed by decentralized applications and the …
research, given the growing value of assets managed by decentralized applications and the …
Loop invariant inference through smt solving enhanced reinforcement learning
S Yu, T Wang, J Wang - Proceedings of the 32nd ACM SIGSOFT …, 2023 - dl.acm.org
Inferring loop invariants is one of the most challenging problems in program verification. It is
highly desired to incorporate machine learning when inferring. This paper presents a …
highly desired to incorporate machine learning when inferring. This paper presents a …
Monotone procedure summarization via vector addition systems and inductive potentials
This paper presents a technique for summarizing recursive procedures operating on integer
variables. The motivation of our work is to create more predictable program analyzers, and …
variables. The motivation of our work is to create more predictable program analyzers, and …
A HAT Trick: Automatically Verifying Representation Invariants Using Symbolic Finite Automata
Functional programs typically interact with stateful libraries that hide state behind typed
abstractions. One particularly important class of applications are data structure …
abstractions. One particularly important class of applications are data structure …
Learning to synthesize relational invariants
We propose a method for synthesizing invariants that can help verify relational properties
over two programs or two different executions of a program. Applications of such invariants …
over two programs or two different executions of a program. Applications of such invariants …