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