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Simulation and Comparison of Albrecht's Function Point and DeMarco's Function Bang Metrics in a CASE Environment
July 1993 (vol. 19 no. 7)
pp. 661-671

Software size estimates provide a basis for software cost estimation during software development. Hence, it is important to measure the system size reliably as early as possible. Two of the best known specification level metrics, Albrecht's function points (A.J. Albrecht, 1979) and DeMarco's function bang metrics (T. DeMarco, 1982) are compared by a simulation study in which automatically generated randomized dataflow diagrams (DFDs) were used as a statistical sample to automatically count function points and function bang in a built CASE environment. These value counts were correlated statistically using correlation coefficients and regression analysis. The simulation study permits sufficient variation in the base material to cover most types of system specifications. Moreover, it allows sufficient sampling sizes to make statistical analysis of data. The obtained results show that in certain cases there is a relatively good statistical correlation between these metrics.

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Index Terms:
software size estimates; software cost estimation; software development; specification level metrics; function points; function bang metrics; simulation study; automatically generated randomized dataflow diagrams; DFDs; statistical sample; built CASE environment; system specifications; statistical correlation; software cost estimation; software metrics; software tools
Citation:
R. Rask, P. Laamanen, K. Lyyttinen, "Simulation and Comparison of Albrecht's Function Point and DeMarco's Function Bang Metrics in a CASE Environment," IEEE Transactions on Software Engineering, vol. 19, no. 7, pp. 661-671, July 1993, doi:10.1109/32.238567
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