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| Content Provider | Springer Nature Link |
|---|---|
| Author | Lima, Osias de Souza Farias, Pedro PorfĂrio Muniz Belchior, Arnaldo Dias |
| Copyright Year | 2003 |
| Abstract | 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. |
| Starting Page | 149 |
| Ending Page | 166 |
| Page Count | 18 |
| File Format | |
| ISSN | 09639314 |
| Journal | Software Quality Journal |
| Volume Number | 11 |
| Issue Number | 2 |
| e-ISSN | 15731367 |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 2003-01-01 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Software Engineering/Programming and Operating Systems Programming Languages, Compilers, Interpreters Operating Systems Data Structures, Cryptology and Information Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Safety, Risk, Reliability and Quality Media Technology Software |
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