DocumentCode :
2297695
Title :
Inter-item correlations among function points
Author :
Kitchenham, Barbara ; Känsälä, Kari
Author_Institution :
Nat. Computing Centre Ltd., Manchester, UK
fYear :
1993
fDate :
17-21 May 1993
Firstpage :
477
Lastpage :
480
Abstract :
Reports on an empirical investigation of Albrecht function points. They investigated the constituent elements of the function point counts to determine whether all the elements are required to provide a valid measure of size; whether the sum of all the elements is a better predictor of effort than the constituent elements; and whether the complexity adjustments are necessary. The study suggests that function points are not well-formed metrics because there is a correlation between their constituent elements. It also suggests that for the dataset under investigation, two of the constituent elements were as good at predicting effort as the raw function point count and that the unweighted counts can be reasonable predictors of effort
Keywords :
software metrics; Albrecht function points; complexity adjustments; constituent elements; effort prediction; function point counts; inter-item correlation; software metrics; unweighted counts; Availability; Data analysis; Hardware; Insurance; Management training; Marketing and sales; Predictive models; Productivity; Scattering; Size measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, 1993. Proceedings., 15th International Conference on
Conference_Location :
Baltimore, MD
ISSN :
0270-5257
Print_ISBN :
0-8186-3700-5
Type :
conf
DOI :
10.1109/ICSE.1993.346018
Filename :
346018
Link To Document :
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