The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Structured Analysis (SA): A Language for Communicating Ideas
Abstract
Structured analysis (SA) combines blueprint-like graphic language with the nouns and verbs of any other language to provide a hierarchic, top-down, gradual exposition of detail in the form of an SA model. The things and happenings of a subject are expressed in a data decomposition and an activity decomposition, both of which employ the same graphic building block, the SA box, to represent a part of a whole. SA arrows, representing input, output, control, and mechanism, express the relation of each part to the whole. The paper describes the rationalization behind some 40 features of the SA language, and shows how they enable rigorous communication which results frorn disciplined, recursive application of the SA maxim: "Everything worth saying about anything worth saying something about must be expressed in six or fewer pieces."
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Cites
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
Cited by
Programs, life cycles, and laws of software evolution
Lehman, M. M. (1980) · Proceedings of the IEEE · doi:10.1109/proc.1980.11805 · Cited by 1,181
Requirements Engineering: Best Practice
Fricker, S. A., Grau, R., & Zwingli, A. (2015) · Requirements Engineering for Digital Health · doi:10.1007/978-3-319-09798-5_2 · Cited by 61
Metadata
- Authors
- Ross, D. T.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 1977-01
- Volume
- SE-3
- Issue
- 1
- Pages
- 16-34
- ISSN
- 0098-5589 (ISSN-L)
- OpenAlex
- W2115937516
- Cited by
- 867
- References
- 1
- FWCI
- 88.02
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
