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Informatics 2007 >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1812/345
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| 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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