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・ Structure plan
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・ Structure specific recognition protein 1
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・ Structure the Spin Dr.
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・ Structure theorem for finitely generated modules over a principal ideal domain
・ Structure theorem for Gaussian measures
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Structured analysis
・ Structured Analysis and Design Technique
・ Structured ASIC platform
・ Structured Audio Orchestra Language
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・ Structured cognitive behavioral training
・ Structured collar
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・ Structured data analysis (systems analysis)
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Structured analysis : ウィキペディア英語版
Structured analysis

Structured Analysis (SA) in software engineering and its allied technique, Structured Design (SD), are methods for analyzing and converting business requirements into specifications and ultimately, computer programs, hardware configurations and related manual procedures.
Structured analysis and design techniques are fundamental tools of systems analysis, and developed from classical systems analysis of the 1960s and 1970s.〔Edward Yourdon (1986). ''Managing the Structured Techniques: Strategies for Software Development in the 1990s''. Yourdon Press. p.35.〕
== Objectives of Structured Analysis ==
Structured Analysis became popular in the 1980s and is still used by many. The analysis consists of interpreting the system concept (or real world situations) into data and control terminology represented by data flow diagrams. The flow of data and control from bubble to data store to bubble can be very hard to track and the number of bubbles can get to be extremely large. One approach is to first define events from the outside world that require the system to react, then assign a bubble to that event, bubbles that need to interact are then connected until the system is defined. This can be rather overwhelming and so the bubbles are usually grouped into higher level bubbles. Data Dictionaries are needed to describe the data and command flows and a process specification is needed to capture the transaction/transformation information.〔FAA (2000). (''FAA System Safety Handbook, Appendix D'' ). December 30, 2000.〕
SA and SD were accompanied by notation methods including structure charts, data flow diagrams and data model diagrams, of which there were many variations, including those developed by Tom DeMarco, Ken Orr, Larry Constantine, Vaughn Frick, Ed Yourdon, Steven Ward, Peter Chen, and others.
These techniques were combined in various published System Development Methodologies, including Structured Systems Analysis and Design Method, Profitable Information by Design (PRIDE), Nastec Structured Analysis & Design, SDM/70 and the Spectrum Structured system development methodology.

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