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@article{ART002707571},
author={Kwon, Ki Tae},
title={Data Mining and Software Engineering},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2013},
volume={9},
number={2},
pages={15-21}

TY - JOUR
AU - Kwon, Ki Tae
TI - Data Mining and Software Engineering
JO - Journal of Software Assessment and Valuation
PY - 2013
VL - 9
IS - 2
PB - Korea Software Assessment and Valuation Society
SP - 15
EP - 21
SN - 2092-8114
AB - The accurate estimation of software development cost is important to a successful project in software engineering. Until recent days, the models using regression analysis based on statistical algorithm and data mining method have been proposed. However, this paper estimates the software development cost using support vector regression, a sort of new data mining technique. Also we presents the best set of optimized parameters applying immune algorithm, changing the number of generations, memory cells, and allele. The proposed IA-SVR algorithm outperforms some existed researches published in the literatures.
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Kwon, Ki Tae. (2013). Data Mining and Software Engineering. Journal of Software Assessment and Valuation, 9(2), 15-21.

Kwon, Ki Tae. 2013, "Data Mining and Software Engineering", Journal of Software Assessment and Valuation, vol.9, no.2 pp.15-21.

Kwon, Ki Tae "Data Mining and Software Engineering" Journal of Software Assessment and Valuation 9.2 pp.15-21 (2013) : 15.

Kwon, Ki Tae. Data Mining and Software Engineering. 2013; 9(2), 15-21.

Kwon, Ki Tae. "Data Mining and Software Engineering" Journal of Software Assessment and Valuation 9, no.2 (2013) : 15-21.

Kwon, Ki Tae. Data Mining and Software Engineering. Journal of Software Assessment and Valuation, 9(2), 15-21.

Kwon, Ki Tae. Data Mining and Software Engineering. Journal of Software Assessment and Valuation. 2013; 9(2) 15-21.

Kwon, Ki Tae. Data Mining and Software Engineering. 2013; 9(2), 15-21.

Kwon, Ki Tae. "Data Mining and Software Engineering" Journal of Software Assessment and Valuation 9, no.2 (2013) : 15-21.