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http://dx.doi.org/10.3745/KIPSTD.2004.11D.3.597

A Software Cost Estimation Using Growth Curve Model  

Park, Seok-Gyu (도립 강원전문대학 컴퓨터응용과)
Lee, Sang-Un (국립 원주대학 여성교양과)
Park, Jae-Heung (경상대학교 컴퓨터과학과)
Publication Information
The KIPS Transactions:PartD / v.11D, no.3, 2004 , pp. 597-604 More about this Journal
Abstract
Accurate software cost estimation is essential to both developers and customers. Most of the cost estimating models based on the size measure methods, such as LOC and FP, are obtained through size estimation. The accuracy of size estimation directly influences the accuracy of cost estimation. As a result, the overall structure of regression-based cost models applies the power function based on software size. Many growth phenomenon in nature such as the growth in living organism, performance of technology, and learning capability of human show an S-shaped curve. This paper proposes a model which estimates the developing effort by using the growth curve. The presented model assumes that the relation cost and size follows the growth curve. The appropriateness of the growth curve model based on Function Point, Full-Function Point and Use-Case Point, which are the general methods in estimating the software size have been confirmed. The proposed growth curve model shows similar performance with power function model. In conclusion, the growth curve model can be applied in the estimation of the software cost.
Keywords
Size; Effort; Growth Curve; Sigmoidal Function; Functional Requirements;
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