Models for Improving Software System Size Estimates during Development

William W. AGRESTI, William M. EVANCO, William M. THOMAS

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DOI: 10.4236/jsea.2010.31001                

Abstract

This paper addresses the challenge of estimating eventual software system size during a development project. The ap-proach is to build a family of estimation models that use information about architectural design characteristics of the evolving software product as leading indicators of system size. Four models were developed to provide an increasingly accurate size estimate throughout the design process. Multivariate regression analyses were conducted using 21 Ada subsystems, totaling 183,000 lines of code. The models explain from 47% of the variation in delivered software size early in the design phase, to 89% late in the design phase.

Keywords

Software Size, Estimation, Ada, Regression, Re-Estimation, Metrics

Conflicts of Interest

The authors declare no conflicts of interest.

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