A Type-2 Fuzzy Logic Based Framework for Function Points

A Type-2 Fuzzy Logic Based Framework for Function Points

Автор: Anupama Kaushik, A.K. Soni, Rachna Soni

Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa

Статья в выпуске: 3 vol.5, 2013 года.

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Software effort estimation is very crucial in software project planning. Accurate software estimation is very critical for a project success. There are many software prediction models and all of them utilize software size as a key factor to estimate effort. Function Points size metric is a popular method for estimating and measuring the size of application software based on the functionality of the software from the user’s point of view. While there is a great advancement in software development, the weight values assigned to count standard FP remains the same. In this paper the concepts of calibrating the function point weights using Type-2 fuzzy logic framework is provided whose aim is to estimate a more accurate software size for various software applications and to improve the effort estimation of software projects. Evaluation experiments have shown the framework to be promising.

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Project management, Software Effort Estimation, Type-2 Fuzzy Logic System, Function Point Analysis

Короткий адрес: https://sciup.org/15010391

IDR: 15010391

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