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Points-to analysis in almost linear time
Open accessAbstract
We present an interprocedural flow-insensitive points-to analysis based on type inference methods with an almost linear time cost complexity To our knowledge, this is the asymptotically fastest non-trivial interprocedural points-to analysis algorithm yet described The algorithm is based on a non-standard type system. The type inferred for any variable represents a set of locations and includes a type which in turn represents a set of locations possibly pointed to by the variable. The type inferred for a function variable represents a set of functions It may point to and includes a type signature for these functions The results are equivalent to those of a flow-insensitive alias analysis (and control flow analysis) that assumes alias relations are reflexive and transitive.This work makes three contributions. The first is a type system for describing a universally valid storage shape graph for a program in linear space. The second is a constraint system which often leads to better results than the "obvious" constraint system for the given type system The third is an almost linear time algorithm for points-to analysis by solving a constraint system.
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Cited by
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Choi, J.-D., Lee, K., Loginov, A., O'Callahan, R., Sarkar, V., & Sridharan, M. (2002) · Proceedings of the ACM SIGPLAN 2002 conference on Programming language design and implementation · doi:10.1145/512529.512560 · Cited by 441
Metadata
- Authors
- Steensgaard, B.
- Venue
- Proceedings of the 23rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '96
- Publisher
- ACM Press
- Published
- 1996
- Pages
- 32-41
- OpenAlex
- W2131135493
- Cited by
- 1,088
- References
- 0
- FWCI
- 36.39
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Points-to analysis in almost linear time. https://app.cochat.ai/papers/10.1145/237721.237727
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- Steensgaard, B. (1996). Points-to analysis in almost linear time. Proceedings of the 23rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '96. https://doi.org/10.1145/237721.237727
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