A GENETIC-BASED FUZZY REGRESSION ANALYSIS: AN APPROACH FOR ESTIMATION OF SOFTWARE SOURCE CODE SIZE

Mashinchi , M. Hadi and Hj. Shamsuddin, Siti Mariyam (2007) A GENETIC-BASED FUZZY REGRESSION ANALYSIS: AN APPROACH FOR ESTIMATION OF SOFTWARE SOURCE CODE SIZE. In: 2nd International Conference on Informatics (Informatics 2007), Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia.

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Official URL: http://dspace.fsktm.um.edu.my/handle/1812/345

Abstract

Approximating the software size code before developing is a very important issue in software planning and development. A correct approximation leads to proper scheduling and cost approximation. In this paper, a geneticbased fuzzy regression analysis is applied to learn from the training data and then the size approximation of software in advance of development is estimated. The simulation results show that our proposed method can estimate code size efficiently.

Item Type: Conference or Workshop Item (Paper)
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: MS SITI NUR ATIKAH MOHAMAD RUSDI
Date Deposited: 16 Jul 2013 02:27
Last Modified: 16 Jul 2013 02:27
URI: http://repository.um.edu.my/id/eprint/427

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