Improving Estimation Ability of Software Development Effort Using Principle Component Analysis 


Vol. 9,  No. 1, pp. 75-80, Feb.  2002
10.3745/KIPSTD.2002.9.1.75


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  Abstract

Putnam develops SLIM (Software LIfecycle Management) model based upon the assumption that the manpower utilization during software project development is followed by a Rayleigh distribution. To obtain the manpower distribution, we have to be estimate the total development effort and difficulty ratio parameter. We need a way to accurately estimate these parameters early in the requirements and specification phase before investment decisions have to be made. Statistical tests show that system attributes are highly correlation (redundant) so that Putnam discards one and get a parameter estimator from the other attributes. But, different statistical method has different system attributes and presents different performance. To select the principle system attributes, this paper uses the principle component analysis (PCA) instead of Putnam's method. The PCA's results improve a 9.85 percent performance more than the Putnam's result. Also, this model seems to be simple and easily realize.

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[IEEE Style]

S. U. Lee, "Improving Estimation Ability of Software Development Effort Using Principle Component Analysis," The KIPS Transactions:PartD, vol. 9, no. 1, pp. 75-80, 2002. DOI: 10.3745/KIPSTD.2002.9.1.75.

[ACM Style]

Sang Un Lee. 2002. Improving Estimation Ability of Software Development Effort Using Principle Component Analysis. The KIPS Transactions:PartD, 9, 1, (2002), 75-80. DOI: 10.3745/KIPSTD.2002.9.1.75.

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