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External Output (EO) External Input (EI) ILF External Query (EQ)
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Figure 18-1 Context diagram for IFPUG FP
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What Is Involved in IFPUG Function Point Counting
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The basic steps5 involved in the IFPUG methodology for function point counting include 1 Determine type of count (can be a new development project, an application or base count, or an enhancement project count) 2 Determine the project scope and the purpose for measuring the functional size This step identifies exactly what is to be counted For example, if a piece of software is to be delivered incrementally over five releases, and we need to estimate the effort to deliver phase 1, then we would want to know the functional size of the functional user requirements that would be delivered by phase 1 The remaining functional user requirements would be out of scope of the phase 1 functional size 3 Identify the application boundary (that is, the functions the software must perform This creates a context diagram for the application or project as illustrated in Figure 18-1) 4 Identify the function types and establish complexity: a Count the data function types (self-contained, persistent logical entities): Internal logical files (ILF), which are logical data groups maintained within the application boundary External interface files (EIF), which are used only for reference by the application and are maintained within another software s application boundary
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These steps are a condensed version of the full FP counting method included in the IFPUG Counting Practices Manual Additionally, there are full case studies of FP counts done at differing phases of application development that can also be ordered through the IFPUG office
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b Count the transactional function types: External inputs (EI), which include the elementary processes for which data entry is their primary intent, as well as stand-alone controlled inputs (for example, add customer) External outputs (EO), for example, reports or data displays where calculations are involved External queries (EQ), for example, direct retrieval of data from one or more of the entities identified as ILFs or EIFs, and no additional processing as described earlier c Evaluate the complexity of each of the five function types identified earlier IFPUG provides several simple matrixes to determine whether a function is Low, Average, or High complexity, based on data element types (userrecognizable, nonrecursive data fields), record element types (subsets of user-recognizable data), and file types referenced (number of logical data groupings required to complete a process) Table 18-2 summarizes the number of function points assigned to each function type d Following the IFPUG guidelines, count and rate all of the identified functions, and add the function points together The resultant number is called the unadjusted FP count and is the functional size of the project 5 The next step is an optional step in the IFPUG function point method because it goes beyond the determination of functional size It attempts to quantify a portion of the non-functional user requirements by evaluating 14 factors of the software This step determines a factor called the value adjustment factor (VAF), which reflects the user non-functional requirements or complexity for the developed software The VAF is calculated via an equation (VAF = 065 + (Sum of General System Characteristics 001)) and involves a simple evaluation of 14 general
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Function Type EI EO EQ ILF EIF
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Low 3 4 3 7 5
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Average 4 5 4 10 7
High 6 7 6 15 10
Table 18-2 Unadjusted FP Assigned to IFPUG Function Types
18:
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systems characteristics (GSCs) Specific evaluation guidelines for the following GSCs are provided in the IFPUG Counting Practices Manual (IFPUG, 2009): Data communication Distributed data processing Performance Heavily used configuration Transaction rate Online data entry End user efficiency Online update Complex processing Reusability Installation ease Operational ease Multiple sites Facilitate change
6 The final step is also optional in the IFPUG CPM because it too goes beyond what is considered functional size It adjusts the functional size (Step 4) and the non-functional VAF (Step 5) together using: Adjusted FP = unadjusted FP * VAF
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