Fuzzy Modeling for Function Points Analysis

Function Point Analysis (FPA) is a largely used technique to estimate the size of development project, enhancement project or applications already installed. During the point counting process that represents the dimension of a project or an application, each function is classified according to its r...

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Bibliographic Details
Published in:Software quality journal 2003-06, Vol.11 (2), p.149
Main Authors: Osias de Souza Lima Jr, Pedro Porfírio Muniz Farias, Arnaldo Dias Belchior
Format: Article
Language:English
Subjects:
Costs
Embedded systems
Estimates
Fuzzy sets
Metric system
Set theory
Software quality
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Description
Summary:Function Point Analysis (FPA) is a largely used technique to estimate the size of development project, enhancement project or applications already installed. During the point counting process that represents the dimension of a project or an application, each function is classified according to its relative functional complexity. Several studies resulted in FPA extensions, and most of them are mainly aimed at achieving greater precision in the point assessment of systems of greater algorithmic complexity. This work proposes the use of concepts and properties from fuzzy set theory to extend FPA into FFPA (Fuzzy Function Point Analysis). Fuzzy theory seeks to build a formal quantitative structure capable of emulating the imprecision of human knowledge. With the function points generated by FFPA, the functionality of the project is better represented than it was through FPA. Thus, derived values such as costs and terms of development can be more precisely determined.
ISSN:0963-9314
1573-1367
DOI:10.1023/A:1023716628585