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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/345

Title: A GENETIC-BASED FUZZY REGRESSION ANALYSIS: AN APPROACH FOR ESTIMATION OF SOFTWARE SOURCE CODE SIZE
Authors: M. Hadi Mashinchi
Siti Mariyam, Hj. Shamsuddin
Keywords: Software Code Size
Fuzzy Regression
Genetic Algorithms
Issue Date: 2007
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.
Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T1-49 - T1-53
URI: http://dspace.fsktm.um.edu.my/handle/1812/345
ISBN: 978-983-43491-1-0
Appears in Collections:Informatics 2007

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