Software development requires early and accurate cost estimation in order t
o enhance likely success. System complexity needs to be measured and then c
orrelated with development effort. One of the best known approaches to such
measurement-based estimation in the area of Information Systems is Functio
n Point Analysis (FPA). Although it is reasonably well used in practice, FP
A has been shown to be formally ambiguous and to have some serious practica
l deficiencies as well, mainly in the context of newly emerged object-orien
ted modeling approaches. This paper reports results from an empirical study
undertaken in Swiss industry covering 36 projects. We observed that a new
formally sound approach, the System Meter (SM) method, which explicitly tak
es reuse into account, predicts effort substantially better than FPA. (C) 1
999 Elsevier Science Inc. All rights reserved.