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http://dx.doi.org/10.3745/KIPSTD.2003.10D.7.1127

A Predictive Model for Software Development Team Size and Duration Based on Function Point  

Park, Seok-Gyu (강원도립대학 컴퓨터응용과)
Lee, Sang-Un (강원도립대학 컴퓨터응용과)
Publication Information
The KIPS Transactions:PartD / v.10D, no.7, 2003 , pp. 1127-1136 More about this Journal
Abstract
Estimation of software project cost, effort and duration in the early stage of software development cycle is a difficult and key problem in software engineering. Most of models estimate the development effort using the function point that is measured from the requirement specification. This paper presents optimal team size and duration prediction based on function point in order to provide information that can be used as a guide in selecting the most Practical and productive team size for a software development project. We introduce to productive metrics and cost for decision criteria of ideal team size and duration. The experimental is based on the analysis of 300 development and enhancement software project data. These data sets are divide in two subgroups. One is a development project; the other is a maintenance project. As a result of evaluation by productivity and cost measured criteria in two subgroups, we come to the conclusion that the most successful projects has small teams and minimum duration. Also, I proposed that predictive model for team sire and duration according to function point size based on experimental results. The presented models gives a criteria for necessary team site and duration according to the software size.
Keywords
Team Size; Development Duration; Software Size; Function Point; Evaluation Metrics;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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