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The Simple Function Point (SFP) method [1] is a lightweight Functional Measurement Method.. The Simple Function Point method was designed by Roberto Meli in 2010 to be compliant with the ISO14143-1 standard and compatible with the International Function Points User Group (IFPUG) Function Point Analysis (FPA) method.
The function point is a "unit of measurement" to express the amount of business functionality an information system (as a product) provides to a user. Function points are used to compute a functional size measurement (FSM) of software. The cost (in dollars or hours) of a single unit is calculated from past projects. [1]
This is a method for analysis and measurement of information processing applications based on end user functional view of the system. The MK II Method (ISO/IEC 20968 Software engineering—Mk II Function Point Analysis—Counting Practices Manual [1]) is one of five currently recognized ISO standards for Functionally sizing software.
The WMFP algorithm uses a three-stage process: function analysis, APPW transform, and result translation. A dynamic algorithm balances and sums the measured elements and produces a total effort score. The basic formula is: Σ(WiMi) ΠDq M = the source metrics value measured by the WMFP analysis stage
The estimation approaches based on functionality-based size measures, e.g., function points, is also based on research conducted in the 1970s and 1980s, but are re-calibrated with modified size measures and different counting approaches, such as the use case points [11] or object points and COSMIC Function Points in the 1990s.
For the Online Shopping System, the total estimated size to develop the software is 125.06 Use Case Points. Now that the size of the project is known, the total effort for the project can be estimated. For the Online Shopping System example, 28 man hours per use case point will be used. Estimated Effort = UCP x Hours/UCP
Following approaches can be used for the estimation: top-down estimation and bottom-up estimation. The top-down techniques are formula based and they are relative to the expenses for development: Function Point Analysis (FPA) and Test Point Analysis (TPA) amongst others. Bottom-up techniques are based on detailed information and involve often ...
In numerical analysis, fixed-point iteration is a method of computing fixed points of a function.. More specifically, given a function defined on the real numbers with real values and given a point in the domain of , the fixed-point iteration is + = (), =,,, … which gives rise to the sequence,,, … of iterated function applications , (), (()), … which is hoped to converge to a point .