A Gompertz Model for Software Cost Estimation


The KIPS Transactions:PartD, Vol. 15, No. 2, pp. 207-212, Apr. 2008
10.3745/KIPSTD.2008.15.2.207,   PDF Download:

Abstract

This paper evaluates software cost estimation models, and presents the most suitable model. First, we transformed a relevant model into variables to make in linear. Second, we evaluated model's performance considering how much suitable the cost data of the actual development software was. In the stage of model performance evaluation criteria, we used MMRE which is the relative error concept rather than the absolute error. Existing software cost estimation model follows Weibull, Gamma, and Rayleigh function. In this paper, Gompertz function model is suggested which is a kind of growth curve. Additionally, we verify the compatability of other different growth curves. As a result of evaluation of model's performance, Gompertz function was considered to be the most suitable for the cost estimation model.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
S. U. Lee, "A Gompertz Model for Software Cost Estimation," The KIPS Transactions:PartD, vol. 15, no. 2, pp. 207-212, 2008. DOI: 10.3745/KIPSTD.2008.15.2.207.

[ACM Style]
Sang Un Lee. 2008. A Gompertz Model for Software Cost Estimation. The KIPS Transactions:PartD, 15, 2, (2008), 207-212. DOI: 10.3745/KIPSTD.2008.15.2.207.