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Cited by 1,170

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Precise interprocedural dataflow analysis via graph reachability

Reps, Thomas, Horwitz, Susan, Sagiv, Mooly·1995·Proceedings of the 22nd ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '95

Abstract

The paper shows how a large class of interprocedural dataflow-analysis problems can be solved precisely in polynomial time by transforming them into a special kind of graph-reachability problem. The only restrictions are that the set of dataflow facts must be a finite set, and that the dataflow functions must distribute over the confluence operator (either union or intersection). This class of probable problems includes—but is not limited to—the classical separable problems (also known as “gen/kill” or “bit-vector” problems)—e.g., reaching definitions, available expressions, and live variables. In addition, the class of problems that our techniques handle includes many non-separable problems, including truly-live variables, copy constant propagation, and possibly-uninitialized variables.

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Metadata

Authors
Reps, T., Horwitz, S., & Sagiv, M.
Venue
Proceedings of the 22nd ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '95
Publisher
ACM Press
Published
1995
Pages
49-61
OpenAlex
W2080573945
Cited by
1,170
References
1
FWCI
15.59
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Precise interprocedural dataflow analysis via graph reachability. https://app.cochat.ai/papers/10.1145/199448.199462
The paper
Reps, T., Horwitz, S., & Sagiv, M. (1995). Precise interprocedural dataflow analysis via graph reachability. Proceedings of the 22nd ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '95. https://doi.org/10.1145/199448.199462

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.