A new calibration for Function Point complexity weights
Information and Software Technology
Automated software size estimation based on function points using UML models
Information and Software Technology
Data & Knowledge Engineering
Component Point: A system-level size measure for Component-Based Software Systems
Journal of Systems and Software
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The standard Function Point Analysis (FPA) method maps complexity to an ordinal scale such that function types (functions) labelled ''high'' complexity may have a very different underlying complexity. This deficiency is the subject of this article. An improved FPA method is presented that breaks down a very complex function into an equivalent set of functions with normal complexity. The improved FPA method is not a new method, it is an improvement of the standard FPA method. In the process of defining an improved FPA method, a model was built, which helped us find the connection between the standard FPA method and the Common Software Measurement International Consortium-Full Function Point (COSMIC-FFP) and Mark II Function Point Analysis (MKII FPA) methods. These methods were used to define the improved FPA method algorithm, because they show a bigger functional size for very complex functions. In the end, an evaluation of the improved FPA method was made with the results of the ISBSG Repository Data Disk.