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<p>Effective management of the software development process requires that management be able to estimate total development effort and cost. One of the fundamental problems associated with effort and cost estimation is the a priori estimation of software size. Function point analysis has emerged over the last decade as a popular tool for this task. Criticisms of the method that relate to the way in which function counts are calculated and the impact of the processing complexity adjustment on the function point count have arisen. SPQR/20 function points among others are claimed to overcome some of these criticisms. The SPQR/20 function point method is compared to traditional function point analysis as a measure of software size in an empirical study of MIS environments. In a study of 64 projects in one organization it was found that both methods would appear equally satisfactory. However consistent use of one method should occur since the individual counts differ considerably.</p>
function point counting techniques; software development process; a priori estimation; software size; processing complexity adjustment; SPQR/20 function points; DP management; project management; software engineering

D. Jeffery, G. Low and M. Barnes, "A Comparison of Function Point Counting Techniques," in IEEE Transactions on Software Engineering, vol. 19, no. , pp. 529-532, 1993.
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