Software Development Effort Estimation Using Function Point

KIPS Journal D (2001 ~ 2012) , Vol. 9D, No.4, pp.603-612, April 2002
10.3745/KIPSTD.2002.9D.4.603, Full Text


Area of software measurement in software engineering is active more than thirty years. There is a huge collection of researches but still no concrete software development effort and cost estimation model. If we want to measure the effort and cost of a software project, we need to estimate the size of the software. A number of software metrics are identified in the literature; the most frequently cited measures are LOC (line of code) and FPA (function point analysis). The FPA approach has features that overcome the major problems with using LOC as a measure of system size. This paper presents simple linear regression model that related software development effort to software size measured in FP. The model is derived from the plotting of the effort and FP relation. The experimental data are collected from 789 software development projects that were recently developed under the various development environments and development methods. Also, the model is compare with other regression analysis model. The presented model has the best estimation ability among the software effort estimation models.


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Cite this paper

[KIPS Transactions Style]
S. U. Lee, J. H. Kang, and J. Y. Park, "Software Development Effort Estimation Using Function Point," KIPS Journal D (2001 ~ 2012) , Vol.9D, No.4, pp.603-612, 2002, DOI: 10.3745/KIPSTD.2002.9D.4.603.

[IEEE Style]
Sang Un Lee, Jeung Ho Kang, and Joong Yang Park, "Software Development Effort Estimation Using Function Point," KIPS Journal D (2001 ~ 2012) , vol. 9D, no. 4, pp. 603-612, 2002. DOI: 10.3745/KIPSTD.2002.9D.4.603.

[ACM Style]
Lee, S. U., Kang, J. H., and Park, J. Y. 2002. Software Development Effort Estimation Using Function Point. KIPS Journal D (2001 ~ 2012) , 9D, 4, (2002), 603-612. DOI: 10.3745/KIPSTD.2002.9D.4.603.