Convertibility of functional size measurements: new insights and methodological issues
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
Convertibility between IFPUG and COSMIC functional size measurements
PROFES'07 Proceedings of the 8th international conference on Product-Focused Software Process Improvement
Information and Software Technology
An exploratory study on the accuracy of FPA to COSMIC measurement method conversion types
Information and Software Technology
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Background. After the COSMIC Functional Size Measurement method was proposed, the issue of convertibility between traditional function points and COSMIC function points arose. Several studies have been performed, to evaluate whether a correlation between the two measures. Specifically, it has been suggested that the relation between the measures of FP and CFP may not be linear, i.e., it is a curve that increases its slope for bigger projects. Objective. This paper aims at verifying this hypothesis using the available datasets that collect both FP and CFP size measures. Method. Rigorous statistical analysis techniques are used. In particular regression analysis is used, and the conditions for its applicability are systematically applied. Results. It appears that the analysis of the correlation between FP and CFP measures based on non linear regression models yields different results for the various available datasets: non-linear models can be the best representation of the correlation between FP and CFP, but can also be just equivalent to linear models, or even hardly applicable. Conclusions. There is no evidence that the non-linear models represent well all the available datasets correlating FP and CFP measures. Both linear and non linear regressions should be applied to a given dataset in order to identify the best correlation of FP and CFP.