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Techniques<br />

Functional Decomposition<br />

10.22 Functional Decomposition<br />

10.22.1 Purpose<br />

10.22.2 Description<br />

Functional decomposition helps manage complexity and reduce uncertainty by<br />

breaking down processes, systems, functional areas, or deliverables into their<br />

simpler constituent parts and allowing each part to be analyzed independently.<br />

Process 1.1<br />

Functional decomposition approaches the analysis of complex systems and<br />

concepts by considering them as a set of collaborating or related functions,<br />

effects, and components. This isolation helps reduce the complexity of the<br />

analysis. Breaking down larger components into sub-components allows scaling,<br />

tracking, and measuring work effort for each of them. It also facilitates evaluation<br />

of the success of each sub-component as it relates to other larger or smaller<br />

components.<br />

The depth of decomposition may vary depending on the nature of components<br />

and objectives. Functional decomposition assumes that sub-components can and<br />

do completely describe their parent components. Any sub-component can have<br />

only one parent component when developing the functional hierarchy.<br />

The diagram below provides an example of how a function can be broken down<br />

to manageable, measurable sub-components.<br />

Figure 10.22.1: Functional Decomposition Diagram<br />

Subfunction<br />

1<br />

Process 1.2<br />

Process 1.3<br />

Function<br />

Subfunction<br />

2<br />

Process 2.1 Process 2.2 Process 2.3 Process 2.4<br />

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Activity 1.1.1<br />

Activity 1.2.1<br />

Process 2.1.1<br />

Activity 1.1.2 Activity 1.2.2<br />

Process 2.2.2<br />

Activity 1.1.3<br />

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