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Weighted Micro Function Points
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<p>Weighted Micro Function Points (WMFP) is a modern <a href="/facts/Software_Sizing/1yItNEvY">software sizing</a> algorithm which is a successor to solid ancestor scientific methods as <a href="/facts/COCOMO/eWMytsv4">COCOMO</a>, <a href="/facts/COSYSMO/o1T7WvLL">COSYSMO</a>, maintainability index, <a href="/facts/Cyclomatic_complexity/m3FYrLNR">cyclomatic complexity</a>, <a href="/facts/Function_points/7E1RPg1n">function points</a>, and <a href="/facts/Halstead_Complexity_Measures/fJhCUU3x">Halstead complexity</a>. It produces more accurate results than traditional software sizing methodologies, while requiring less configuration and knowledge from the end user, as most of the estimation is based on automatic measurements of an existing source code. </p><p>As many ancestor measurement methods use <a href="/facts/Source_lines_of_code/eHbXB39X">source lines of code</a> (SLOC) to measure software size, WMFP uses a parser to understand the source code breaking it down into micro functions and derive several code complexity and volume metrics, which are then dynamically interpolated into a final effort score. In addition to compatibility with the waterfall <a href="/facts/Software_development_life_cycle/cIDtuNPN">software development life cycle</a> methodology, WMFP is also compatible with newer methodologies, such as Six Sigma, <a href="/facts/Spiral_model/hp10Hx87">Boehm spiral</a>, and <a href="/facts/Agile_software_development/LDaISBAW">Agile</a> (AUP/Lean/XP/DSDM) methodologies, due to its differential analysis capability made possible by its higher-precision measurement elements. </p>