![]() It is used for measuring font size, leading, and other items on a printed page. In typography, the point is the smallest unit of measure. = 387/408 = 0.A ruler showing point scale (on the bottom) and inch scale (on the top) Total pages of documentation = technical document + user documentĭocumentation = Pages of documentation/FP Number of external interfaces (EIF) Count-total → VAF is then multiplied with the UFP to get the final FP count: FP = VAF * UFPĮxample: Compute the function point, productivity, documentation, cost per function for the following data:.Remember that the value of VAF lies within 0.65 to 1.35 because Then Value Adjustment Factor (VAF) is computed from TDI by using the formula: VAF = (TDI * 0.01) + 0.65.The score of all 14 GSCs is totaled to determine Total Degree of Influence (TDI).(b) If a particular GSC has no influence, then its weight is taken as 0 and if it has a strong influence then its weight is 5. Degree of Influence (DI) for each of these 14 GSCs is assessed on a scale of 0 to 5.The procedure for adjusting UFPs is as follows: It is a set of 14 GSCs that need to be considered. These (UFPs) of a subsystem are further adjusted by considering some more General System Characteristics (GSCs). But the function points obtained above are unadjusted function points (UFPs). FP metrics is used mostly for measuring the size of Management Information System (MIS) software.ġ0. For example, 1 FP is equal to about 100 lines of COBOL code.ĩ. LOCs of an application can be estimated from FPs. Productivity = FP/PM (effort is measured in person-months).Ĩ.When ∑(f i) = 70 then CAF = 0.65 + (0.01 * 70) = 0.65 + 0.7 = 1.35īased on the FP measure of software many other metrics can be computed:.Usually, a student is provided with the value of ∑(f i)Īlso note that ∑(f i) ranges from 0 to 70, i.e., Where Count-total is obtained from the above Table.Īnd ∑(f i) is the sum of all 14 questionnaires and show the complexity adjustment value/ factor-CAF (where i ranges from 1 to 14). The Function Point (FP) is thus calculated with the following formula.įP = Count-total * Here that weighing factor will be simple, average, or complex for a measurement parameter type. The functional complexities are multiplied with the corresponding weights against each function, and the values are added up to determine the UFP (Unadjusted Function Point) of the subsystem. Weights of 5-FP Attributes Measurement Parameter All the parameters mentioned above are assigned some weights that have been experimentally determined and are shown in Table The five parameters mentioned above are also known as information domain characteristics.ħ. FP method is used for data processing systems, business systems like information systems.Ħ. FP is programming language independent.ĥ. The effort required to develop the project depends on what the software does.Ĥ. FP characterizes the complexity of the software system and hence can be used to depict the project time and the manpower requirement.ģ. The FPA functional units are shown in Fig:Ģ. Types of FP Attributes Measurements ParametersĪll these parameters are then individually assessed for complexity. Various functions used in an application can be put under five types, as shown in Table: FPs of an application is found out by counting the number and types of functions used in the applications. Further, it is used to measure the software project development along with its maintenance, consistently throughout the project irrespective of the tools and the technologies.ġ. The basic and primary purpose of the functional point analysis is to measure and provide the software application functional size to the client, customer, and the stakeholder on their request. The functional size of the product is measured in terms of the function point, which is a standard of measurement to measure the software application. ![]() However, functional point analysis may be used for the test estimation of the product. FPA is used to make estimate of the software project, including its testing in terms of functionality or function size of the software product. Albrecht initially developed function Point Analysis in 1979 at IBM and it has been further modified by the International Function Point Users Group (IFPUG). Next → ← prev Functional Point (FP) AnalysisĪllan J.
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