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standardized functional size measurement methods each have their own rules and measurement units for assessing the functional user requirements for a piece of software to arrive at a functional size The goal of all functional size measurement methods is similar: to evaluate the functional user requirements for a piece of software and to determine its functional size Functional size is an important and objective measure that a project manager can use as part of estimating, planning, tracking, and controlling software projects
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Functional size represents the size of the subset of user requirements known as the functional user requirements (that is, the functions that the software must support) and excludes the other user requirements (often referred to as quality and technical requirements) Functional size measures the size of a software project s work output or work product FSM methods establish the size of the functional user requirements that are supported or delivered by the software They do this by sizing the functional area part of the project In simplistic terms, functional size is the size of what the software must do from an external, user perspective, independent of how the software is constructed or how well it must perform This is similar to sizing a building based on its floor plan, expressed in units of square meters (or square feet) Functional size reflects the size of the software s functional user requirements Because most software (no matter how large or how small) is developed to address functional user requirements, all software has a functional size
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Analogies to Illustrate Functional Sizing
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The relationship between functional size and software development can be described analogously with square meters and construction Table 18-1 provides a few comparisons
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The Key to Functional Size Measurement Is to Think Logical
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A fundamental principle to remember about functional sizing is that everything is counted from a logical user perspective, based on the functional user requirements2 This can be a paradigm shift for software developers who are well versed in programming and
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In the early stages of software development, it may be necessary to estimate the requirements or to make assumptions about the functional user requirements, and to subsequently use shortcut methods based on these assumptions to arrive at an approximate functional size Refer to the March 1998 issue of IT Metric Strategies for the article Requirements are (the Size of) the Problem, by Carol Dekkers, which further explores the topic, and The IT Measurement Compendium, by Manfred Bundschuh and Carol Dekkers (Springer, 2008) for further information
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practical Software project estimation
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Software Functional Size Units of Measure Function points
Metric Estimated (functional) size
Construction Units of Measure Square meters (or feet)
When Is It Important to Measure When floor plan is available
When Is It Important to Measure When FUR (functional user requirements) are known or at contract stage At contract signing; at go or no go development decision Throughout development (adjusted whenever change requests are accepted) Whenever change identified
Unit delivery rate (or unit labor cost) & overall effort (or labor) cost Estimated work effort (duration)
Hours per square meter (or $ per square meter) & total hours (or total $) Person-months and move-in date
When builder is selected or construction contract is negotiated Throughout construction (adjusted whenever change orders accepted) Whenever change identified
Hours per FP (Labor $ per function point) & total hours (and total labor $) Personmonths (or person-hours) and delivery date FP, hours, or $ (impact)
Size of change orders
Square meters (or feet), hours or $ (impact)
Table 18-1 Analogies Between Building Construction and Software Development
physical configuration management, because functional size does not vary with the relative ease or difficulty involved in building the software It is irrelevant to the functional size whether it takes a thousand lines of COBOL code and eight subroutine calls or a hundred lines of C++ code to implement a function; the functional size does not vary (it is the same no matter how the software is built) because the user functionality is the same Functional size, like the square meters or square feet of a building, is not equal to work effort Here is the relationship: Functional Size (for example, FP) = An INDEPENDENT measure of the software s LOGICAL size (based only on the functional user requirements) Work Effort (in Hours) = A DEPENDENT measure of how long the software will take to develop It depends on many factors (functional size as well as, for example, project type, programming language, hardware platform, team skills, methodology, team size, risks, and many more) Productivity (for example, Hours per FP) = A DEPENDENT result, dependent on all of the same factors as work effort
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