Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 923

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The S LAM project: debugging system software via static analysis

Ball, Thomas, Rajamani, Sriram K.·2002·Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages

Abstract

The goal of the SLAM project is to check whether or not a program obeys "API usage rules" that specify what it means to be a good client of an API. The SLAM toolkit statically analyzes a C program to determine whether or not it violates given usage rules. The toolkit has two unique aspects: it does not require the programmer to annotate the source program (invariants are inferred); it minimizes noise (false error messages) through a process known as "counterexample-driven refinement". SLAM exploits and extends results from program analysis, model checking and automated deduction. We have successfully applied the SLAM toolkit to Windows XP device drivers, to both validate behavior and find defects in their usage of kernel APIs.

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 · 10.1145/503272.503274

Cites

1 of 1 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 1 references

Cited by

See all 923

Metadata

Authors
Ball, T., & Rajamani, S. K.
Venue
Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Publisher
ACM
Published
2002-01
Pages
1-3
OpenAlex
W2082000355
Cited by
923
References
1
FWCI
42.95
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: The S LAM project: debugging system software via static analysis. https://app.cochat.ai/papers/10.1145/503272.503274
The paper
Ball, T., & Rajamani, S. K. (2002). The S LAM project: debugging system software via static analysis. Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages. https://doi.org/10.1145/503272.503274

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.