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Functional decomposition

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Title: Design methods (functional decomposition) Author: Bo & Elaine Last modified by: Bo Sanden Created Date: 10/16/1997 5:22:02 PM Document presentation format – PowerPoint PPT presentation

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Title: Functional decomposition


1
Functional decomposition
  • (Pressman, Software Engineering,
  • Chapter 14 - 14.7)
  • Revised 8/15/2001

2
Structured analysis/design SA/SD
  • Software design for a language where subroutines
    (procedures and functions) are the main
    structuring devices
  • Intended to be as simple as possible
  • Structured analysis is the analysis of the data
    flow between transforms
  • Structured design is the construction of a
    subroutine hierarchy

3
Data-flow analysis
  • A functional architecture typically consists of a
    hierarchy of subprograms represented as a
    structure chart.
  • In a functional approach, architectural design
    then consists of translating a data flow diagram
    into a structure chart.
  • Two types of data flow
  • Transform flow
  • Transaction flow

4
Transform flow
  • This is the fundamental concept of data flow
    analysis
  • An incoming flow of data passes through the
    afferent branch of transforms to a point of
    highest abstraction (transform center).
  • From there, the outgoing dataflow passes through
    the efferent branch of transformations.

5
Transform flow
Transform center
Afferent branch
Efferent branch
6
Transaction flow
  • For some types of data (typically in interactive
    systems) a choice of processing is based on
    transaction type. This choice occurs in a
    transaction center bubble.
  • From there, one of a number of action paths is
    taken.

7
Transaction flow
Transaction center
Action paths
8
Structure chart
  • The dataflow is converted into a hierarchical
    structure chart of subprograms calling each other

9
Afferent branch
Efferent branch
Central transform
10
Fragmentation problem
  • The authors of structured analysis and design
    suggest that some modules in the structure chart
    be consolidated
  • This often does not happen.
  • The result is a multitude of small subroutines

11
Conclusion
  • In some problems, the flow of data between
    computational elements - functions - is central.
  • Functional decomposition then provides a way to
    structure the program into subprograms
  • The dataflow approach (structured
    analysis/design) is often used for this
  • To avoid fragmentation, small subprograms should
    be consolidated
  • Each subprogram should be functionally cohesive.
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