Park Seog Gyu , Lee Sang Un

The KIPS Transactions:PartD, Vol. 10, No. 7, pp. 1127-1136, Dec. 2003
10.3745/KIPSTD.2003.10.7.1127,   PDF Download:

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 size and duration according to function point size based on experimental results. The presented models gives a criteria for necessary team size and duration according to the software size.

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