Search results
Results from the WOW.Com Content Network
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. The cost (in dollars or hours) of a single unit is calculated from past projects. [1]
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.
Retrieved from "https://en.wikipedia.org/w/index.php?title=Function_Point_Analysis&oldid=212430936"
A function analysis diagram (FAD) is a method used in engineering design to model and visualize the functions and interactions between components of a system or product. It represents the functional relationships through a diagram consisting of blocks, which represent physical components, and labeled relations/arrows between them, which represent useful or harmful functional interactions.
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. [8] [9]
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