A Fuzzy Model for Function Point Analysis to Development and Enhancement Project Assessments

Authors

  • Osias de Souza Lima Júnior Department of Computer Science, University of Fortaleza (UNIFOR) Fortaleza
  • Pedro Porfírio Muniz Farias Department of Computer Science, University of Fortaleza (UNIFOR) Fortaleza
  • Arnaldo Dias Belchior Department of Computer Science, University of Fortaleza (UNIFOR) Fortaleza

DOI:

https://doi.org/10.19153/cleiej.5.2.4

Keywords:

software engineering, fuzzy sets, FPA, FFPA, metrics, evaluation model

Abstract

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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Published

2018-09-23

Issue

Vol. 5 No. 2 (2002): Special Issue of Best Papers presented at CLEI'2001. Merida, Venezuela. Guest Editor: Jose Aguilar (U de Los Andes, Venezuela)

Section

Articles

License

CLEIej is supported by its home institution, CLEI, and by the contribution of the Latin American and international researchers community, and it does not apply any author charges whatsoever for submitting and publishing. Since its creation in 1998, all contents are made publicly accesibly. The current license being applied is a (CC)-BY license (effective October 2015; between 2011 and 2015 a (CC)-BY-NC license was used).