Arithmetizing Shape Analysis
<|reference_start|>Arithmetizing Shape Analysis: Memory safety is an essential correctness property of software systems. For programs operating on linked heap-allocated data structures, the problem of proving memory safety boils down to analyzing the possible shapes of data structures, leading to the field of shape analysis. This paper presents a novel reduction-based approach to memory safety analysis that relies on two forms of abstraction: flow abstraction, representing global properties of the heap graph through local flow equations; and view abstraction, which enable verification tools to reason symbolically about an unbounded number of heap objects. In combination, the two abstractions make it possible to reduce memory-safety proofs to proofs about heap-less imperative programs that can be discharged using off-the-shelf software verification tools without built-in support for heap reasoning. Using an empirical evaluation on a broad range of programs, the paper shows that the reduction approach can effectively verify memory safety for sequential and concurrent programs operating on different kinds of linked data structures, including singly-linked, doubly-linked, and nested lists as well as trees.<|reference_end|>
@article{wolff2024arithmetizing,
    title={Arithmetizing Shape Analysis},
    author={Sebastian Wolff, Ekanshdeep Gupta, Zafer Esen, Hossein Hojjat, Philipp
  R"ummer, Thomas Wies},
    journal={arXiv preprint arXiv:2408.09037},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.09037},
    primaryClass={cs.PL}
}