Software Development Effect Estimation Using Partition of Project Delivery Rate Group


The KIPS Transactions:PartD, Vol. 9, No. 2, pp. 259-266, Apr. 2002
10.3745/KIPSTD.2002.9.2.259,   PDF Download:

Abstract

The main issue in software development is the ability of software project effort and cost estimation in the early phase of software life cycle. The regression models for project effort and cost estimation are presented by function point that is a software size. The data sets used to conduct previous studies are often small and not too recent. Applying these models to 789 project data developed from 1990 ; the models only explain fewer than 0.53(Coefficient of determination) of the data variation. Homogeneous group in accordance with project delivery rate (PDR) divides the data sets. Then this paper presents general effort estimation models using project delivery rate. The presented model has a random distribution of residuals and explains more than 0.99of data variation in most of PDR ranges.


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]
M. O. No, B. K. Lee, S. U. Lee, "Software Development Effect Estimation Using Partition of Project Delivery Rate Group," The KIPS Transactions:PartD, vol. 9, no. 2, pp. 259-266, 2002. DOI: 10.3745/KIPSTD.2002.9.2.259.

[ACM Style]
Myeong Ok No, Bu Kwon Lee, and Sang Un Lee. 2002. Software Development Effect Estimation Using Partition of Project Delivery Rate Group. The KIPS Transactions:PartD, 9, 2, (2002), 259-266. DOI: 10.3745/KIPSTD.2002.9.2.259.