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Cited by 317

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Security quality requirements engineering (SQUARE) methodology

Open access
Mead, Nancy R., Stehney, Ted·2005·ACM SIGSOFT Software Engineering Notes

Abstract

Requirements engineering, a vital component in successful project development, often neglects sufficient attention to security concerns. Further, industry lacks a useful model for incorporating security requirements into project development. Studies show that upfront attention to security saves the economy billions of dollars. Industry is thus in need of a model to examine security and quality requirements in the development stages of the production lifecycle.In this paper, we examine a methodology for both eliciting and prioritizing security requirements on a development project within an organization. We present a model developed by the Software Engineering Institute's Networked Systems Survivability (NSS) Program, and then examine two case studies where the model was applied to a client system. The NSS Program continues to develop this useful model, which has proven effective in helping an organization understand its security posture.

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Metadata

Authors
Mead, N. R., & Stehney, T.
Venue
ACM SIGSOFT Software Engineering Notes
Published
2005-05-15
Volume
30
Issue
4
Pages
1-7
ISSN
0163-5948 (ISSN-L)
OpenAlex
W2146863076
Cited by
317
References
17
FWCI
27.08
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Security quality requirements engineering (SQUARE) methodology. https://app.cochat.ai/papers/10.1145/1082983.1083214
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Mead, N. R., & Stehney, T. (2005). Security quality requirements engineering (SQUARE) methodology. ACM SIGSOFT Software Engineering Notes. https://doi.org/10.1145/1082983.1083214

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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.