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may be acceptable for the purpose for which the size will be used, that is, early project estimation Size approximation techniques can also be used by those practitioners who do not currently measure functional size but need a method of mapping the lessons of this book back to their environment
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The advantages of approximating size are offset by the unavoidable lack of precision of the results It is important to distinguish each measure as either an exact measure (that is, performing a functional size measurement as per the ISO standard guidelines) or an approximation A measurement can be conducted at a number of accuracy levels4, based on the Purpose of the measurement Quality of documentation/information available Amount of time available to complete the measurement The different levels of sizing accuracy range from Level 1 to Level 6, from the most accurate to least accurate Level 1 is the most accurate size measurement, follows formal measurement guidelines, and involves detailed cataloging, classifying, weighting, and cross-referencing of each of the functional components In contrast, at the other end of the accuracy scale, Level 6 functional size is not a measurement as such, but an approximation of the size Rather than identifying, classifying, and sizing each functional component, Level 6 predicts the size based on a number of easily identified attributes of the software It provides a ballpark size for the project Each level of sizing is classified based on the listed tasks being performed Measuring as per the following guidelines, the precision experienced for each level is Level 6 = +20% to +200% Level 5 = +15% to +20% Level 4 = +15% Levels 3 to 1 = +10%
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Levels of Function Point Counting, by Pam Morris (Total Metrics) Version 13 2004 (wwwTotalmetricscom)
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Level 6: Size Approximation
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Functional size is approximated without identifying exact functions It is based on project characteristics that have historically shown some correlation to the total size (for example, number of reports, number of third normal form tables, and so on) The most likely size of the project is then derived by statistically evaluating the results predicted by the various project characteristics Typically, between 10 and 40 characteristics are assessed Assumptions should be documented and the size should always be notated, highlighting that it is an approximation, not a measured size The accuracy range of Level 6 approximations depends on such things as the algorithms used, the functional fit of the project to that of the history data from which the algorithms were derived, the number of characteristics used for the calculation, and the accuracy of the measurement of the characteristics
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Level 5: Rough Size Measure
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Software is functionally decomposed, but only to functional areas or functional groups, not to Base Functional Component5 (BFC) level (that is, not to elementary process level) For each functional area, the number of Base Functional Components is roughly tallied using information from menus, file lists, screen lists, and report lists Weightings for the groups of BFCs are assigned using industry defaults Diagrams and system interface documentation is used
Level 4: Default Complexity Measure
Software to be built by the project is functionally decomposed to BFC level (processes and data groups are individually identified) All BFCs are uniquely identified and classified according to type Default weightings for size are assigned to the individual BFC based on either industry default complexity ratings (for example, IFPUG files: Low and IFPUG Processes = Average) or defaults derived locally within the organization for software of this type
Base Functional Component (BFC) is an elementary unit of Functional User Requirements defined by and used by an FSM method for measurement purposes (ISO/IEC 14143-1 :2006) For example, BFCs correspond to an elementary process or a logical file in the IFPUG FSM method and a functional process in the COSMIC method
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