Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 369

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

Using dependency models to manage complex software architecture

Sangal, Neeraj, Jordan, Ev, Sinha, Vineet, Jackson, Daniel·2005·Proceedings of the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications

Abstract

An approach to managing the architecture of large software systems is presented. Dependencies are extracted from the code by a conventional static analysis, and shown in a tabular form known as the 'Dependency Structure Matrix' (DSM). A variety of algorithms are available to help organize the matrix in a form that reflects the architecture and highlights patterns and problematic dependencies. A hierarchical structure obtained in part by such algorithms, and in part by input from the user, then becomes the basis for 'design rules' that capture the architect's intent about which dependencies are acceptable. The design rules are applied repeatedly as the system evolves, to identify violations, and keep the code and its architecture in conformance with one another. The analysis has been implemented in a tool called LDM which has been applied in several commercial projects; in this paper, a case study application to Haystack, an information retrieval system, is described.

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 · 10.1145/1094811.1094824

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 369

Metadata

Authors
Sangal, N., Jordan, E., Sinha, V., & Jackson, D.
Venue
Proceedings of the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Publisher
ACM
Published
2005-10-12
Pages
167-176
OpenAlex
W2169291221
Cited by
369
References
16
FWCI
17.24
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: Using dependency models to manage complex software architecture. https://app.cochat.ai/papers/10.1145/1094811.1094824
The paper
Sangal, N., Jordan, E., Sinha, V., & Jackson, D. (2005). Using dependency models to manage complex software architecture. Proceedings of the 20th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications. https://doi.org/10.1145/1094811.1094824

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.