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| From | John R Levine <johnl@taugh.com> |
|---|---|
| Newsgroups | comp.compilers |
| Subject | Paper: IncSFS: Incremental Full-Sparse Flow-Sensitive Pointer Analysis for C/C++ |
| Date | 2026-08-26 12:59 -0400 |
| Organization | Compilers Central |
| Message-ID | <26-08-010@comp.compilers> (permalink) |
Flow-sensitive pointer analysis is very effective but also very expensive. This paper proposes a way to make it a lot cheaper. Unlike a lot of recent papers, this one has nothing to do with LLMs. Abstract Pointer analysis is a fundamental technique for compiler optimization and program analysis. Flow-sensitive pointer analysis provides high precision but is difficult to scale to large projects. Tailored for rapid iteration scenarios where software evolves continuously, we introduce IncSFS, the first incremental full-sparse flow-sensitive pointer analysis algorithm for C/C++ programs. IncSFS first transforms the value-flow graph into a constraint graph and performs strongly connected component detection to ensure precision. It then propagates increases and decreases in points-to sets in an interleaved manner, supporting code deletion and insertion within a single analysis pass. IncSFS is guaranteed to terminate and compute the least fixed point when the points-to relation remains object-acyclic during analysis. Experiments on six large-scale real-world projects show that IncSFS is precise and efficient, achieving average speedups of 9.60x over full flow-sensitive pointer analysis and 5.84x over the traditional reset-recompute approach. It also improves efficiency by 15.8% over state-of-the-art incremental pointer analysis algorithms that propagate points-to-set changes. https://arxiv.org/abs/2608.24391 Regards, John Levine, johnl@taugh.com, Taughannock Networks, Trumansburg NY Please consider the environment before reading this e-mail. https://jl.ly
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Paper: IncSFS: Incremental Full-Sparse Flow-Sensitive Pointer Analysis for C/C++ John R Levine <johnl@taugh.com> - 2026-08-26 12:59 -0400
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