TITLE:
Models for Improving Software System Size Estimates during Development
AUTHORS:
William W. AGRESTI, William M. EVANCO, William M. THOMAS
KEYWORDS:
Software Size, Estimation, Ada, Regression, Re-Estimation, Metrics
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.3 No.1,
January
28,
2010
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.