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If you want to know the application size in FiSMA function points, you use the multipliers from the FiSMA column and get the size estimate: 1 18 + 3 34 + 2 112 + 6 36 + 6 55 = 89 FP As we see from the example, the size of the user interface application will be approximately 100 function points with each of these measurement methods
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As mentioned earlier, the basic KISS Quick approach is rated as a rough size measurement method When using FiSMA function points, the approach and measurement can be easily modified to gain more accuracy If we need a ballpark estimate of the size in a very early phase of the development life cycle, we can use Table 5-3 The basic KISS Quick approach just mentioned would give us a ballpark size estimate of 2 12 + 4 6 + 6 5 + 6 5 = 108 FiSMA function points It is slightly larger than the outcome from the basic KISS Quick, but still roughly 100 FP, providing a reasonably accurate size estimate With the basic KISS Quick questionnaire, you have found the numbers of occurrences of each functional type (28 FiSMA Base Functional Component [BFC] types) You can reach the next accuracy level by giving names to all those occurrences For example, when you answered that you will have three different inquiry screens, each representing 34 function points, your estimate can be upgraded to the default complexity measure level by naming the screens but keeping the size default values Moving to higher levels of accuracy requires additional information (for example, related numbers of data elements and reading references)
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Questions How many input screens How many other screens How many report and output form types How many interface record types to other systems How many interface record types from other systems How many entity types How many algorithmic business rules Table 5-3 KISS Quick Estimation for FiSMA
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The Early & Quick (E&Q) technique2 combines different approaches in order to provide better size estimates It uses both analogical and analytical classification of functional components at different levels of detail for different branches of the system (aggregations and multilevel approach) The overall uncertainty level in the estimate (expressed as a range of minimum, likely, and maximum values) is the weighted sum of the individual components uncertainty levels This technique provides a table of statistically validated values, derived from the ISBSG and other sources Due to its multilevel/mixed approach, the sizing level for E&Q depends on how many details the measurer has and can explore: Level 5 For higher hierarchical components (macro processes, general processes, and multiple and generic logical data groups) Level 4 For lower hierarchical components (typical processes and base functional processes, and internal and external logical data groups with generic complexity) Level 3 For functions where the low/average/high complexity is determined The starting point of this technique is the product breakdown structure of the system being studied, the basic elements of which are the following software objects: Logical data groups (files) Elementary (functional) processes Further aggregations are provided: Logical data groups (files) can be grouped in multiple data groups Elementary (functional) processes can be grouped in small, medium, or large typical and general software processes General processes can be grouped in small, medium, or large macro software processes Table 5-4 shows the descriptions for all the software objects and their aggregates The following section provides Early & Quick hints, levels, and ranges for COSMIC FSM methods The Early & Quick technique can also be used for IFPUG This technique provides results within 25 percent of the actual size of the project or application being approximated
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