Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 287

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Is it a tree, a DAG, or a cyclic graph? A shape analysis for heap-directed pointers in C

Ghiya, Rakesh, Hendren, Laurie J.·1996·Proceedings of the 23rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '96

Abstract

This paper reports on the design and implementation of a practical shape analysis for C. The purpose of the analysis is to aid in the disambiguation of heap-allocated data structures by estimating the shape (Tree, DAG, or Cyclic Graph) of the data structure accessible from each heap-directed pointer. This shape information can be used to improve dependence testing and in parallelization, and to guide the choice of more complex heap analyses.The method has been implemented as a context-sensitive interprocedural analysis in the McCAT conlpiler. Experimental results and observations are given for 16 benchmark programs. These results show that the analysis gives accurate and useful results for an important group of applications.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/237721.237724

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 16 references

Cited by

See all 287

Metadata

Authors
Ghiya, R., & Hendren, L. J.
Venue
Proceedings of the 23rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '96
Publisher
ACM Press
Published
1996
Pages
1-15
OpenAlex
W2139356751
Cited by
287
References
16
FWCI
16.48
Type
conference paper
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Is it a tree, a DAG, or a cyclic graph? A shape analysis for heap-directed pointers in C. https://app.cochat.ai/papers/10.1145/237721.237724
The paper
Ghiya, R., & Hendren, L. J. (1996). Is it a tree, a DAG, or a cyclic graph? A shape analysis for heap-directed pointers in C. Proceedings of the 23rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '96. https://doi.org/10.1145/237721.237724

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.