Open AccessA Fuzzy Model for Function Point Analysis to Development and Enhancement Project Assessments
Author(s) -
Osias de Souza Lima Júnior,
Pedro Porfírio Muniz Farias,
Arnaldo Dias Belchior
Publication year - 2018
Publication title -
clei electronic journal
Language(s) - English
Resource type - Journals
ISSN - 0717-5000
DOI - 10.19153/cleiej.5.2.4
Subject(s) - function point , point (geometry) , computer science , fuzzy logic , function (biology) , fuzzy set , dimension (graph theory) , set (abstract data type) , software , process (computing) , membership function , data mining , software development , artificial intelligence , mathematics , programming language , geometry , evolutionary biology , pure mathematics , biology
Function Point Analysis (FPA) is among the most commonly used techniques to estimate the size of software system projects or software systems. 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. Various studies already propose to extend FPA, 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 to 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, derived values such as costs and terms of development can be more precisely determined.
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