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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.
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 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.
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The International Function Point Users Group (IFPUG) is a US-based organization with worldwide chapters [1] of Function point analysis metric software users. [ 2 ] [ 3 ] It is a non-profit , member-governed organization founded in 1986.
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.
The function point count provides measurement of software size, which is the sum of the data movements for a given functional requirement. It may be used to estimate (and benchmark) software project effort, cost, duration, quality and maintenance work.