Comparison of fuzzy rules and SVM approach to the value estimation of the use case parameters

Author

Stolfa, Jakub ; Kobersky, Ondrej ; Kromer, Pavel ; Stolfa, Svatopluk ; Kopka, Martin ; Snasel, Vaclav

Author_Institution

Dept. of Comput. Sci., VSB - Tech. Univ. of Ostrava, Ostrava-Poruba, Czech Republic

fYear

2013

fDate

24-28 June 2013

Firstpage

789

Lastpage

794

Abstract

One of the most important things during a project planning is the estimation of the project cost. Many decisions during project estimation and planning are based on previous experience and competency of a manager. Evaluated completed projects provide rich knowledge about similar decisions and reality. This paper focuses on the comparison of two supportive methods for the approach how to estimate value of specific project parameters utilizing parameterized use case model. The methods that are used are SOM for clustering similar use-cases, fuzzy rules and SVM for calculation of the estimated parameter value.

Keywords

fuzzy set theory; planning; project management; software cost estimation; software management; support vector machines; SOM; SVM approach; estimated parameter value; fuzzy rules; parameterized use case model; project cost estimation; project parameters; project planning; use case parameters; value estimation; Companies; Data models; Estimation; Numerical models; Predictive models; Software; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint

Conference_Location

Edmonton, AB

Type

conf

DOI

10.1109/IFSA-NAFIPS.2013.6608501

Filename

6608501