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Software Development Effort Estimation Using Neural Network Model  

Baek, Seung-Ik (한양대학교 경영대학)
Kim, Byung-Gwan (삼성 SDS)
Publication Information
Journal of Information Technology Services / v.5, no.1, 2006 , pp. 97-109 More about this Journal
Abstract
As software becomes more complex and its scope dramatically increases, the importance of research on developing methods for estimating software development efforts has been increased. Such accurate estimation has a prominent impact on the development projects. To develop accurate effort estimation models, many studies have been conducted among the academia and the practitioners. Out of the numerous methods, Constructive Cost Model (COCOMO) based on Line of Code (LOC), Regression Model based on Function Point (FP) were the most popular models in the past. As today's development environments are dynamically changing, these traditional methods do not work anymore. There is an impending need to develop an accurate estimation model which accommodates itself to the new environments. As a possible solution, this research proposes and evaluates an software development estimation model based on function points and neural networks.
Keywords
LOC; COCOMO; Function Point; Neural Networks; Effort Estimation;
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Times Cited By KSCI : 2  (Citation Analysis)
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