Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICMIT.2008.4654377
Title: A study of analogy based sampling for interval based cost estimation for software project management
Authors: Li, Y.F.
Xie, M. 
Goh, T.N. 
Keywords: Analogy based estimation
Interval estimation
Software cost estimation
Software project management
Issue Date: 2008
Source: Li, Y.F.,Xie, M.,Goh, T.N. (2008). A study of analogy based sampling for interval based cost estimation for software project management. Proceedings of the 4th IEEE International Conference on Management of Innovation and Technology, ICMIT : 281-286. ScholarBank@NUS Repository. https://doi.org/10.1109/ICMIT.2008.4654377
Abstract: Software cost estimation is one of the most challenging activities in software project management. Since the software cost estimation affects almost all activities of software project development such as: biding, planning, and budgeting, the accurate estimation is very crucial to the success of software project management. However, due to the inherent uncertainties in the estimation process and other factors, the accurate estimates are often obtained with great difficulties. Therefore, it is safer to generate interval based estimates with a certain probability over them. In the literature, many approaches have been proposed for interval estimation. In this study, we propose a navel method namely Analogy Based Sampling (ABS) and compare ABS against the well established Bootstrapped Analogy Based Estimation (BABE) which is the only existing variant of analogy based method with the capability to generate interval predictions. The results and comparisons show that ABS could improve the performance of BABE with much higher efficiencies and more accurate interval predictions. ©2008 IEEE.
Source Title: Proceedings of the 4th IEEE International Conference on Management of Innovation and Technology, ICMIT
URI: http://scholarbank.nus.edu.sg/handle/10635/72258
ISBN: 9781424423309
DOI: 10.1109/ICMIT.2008.4654377
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

6
checked on Dec 11, 2017

Page view(s)

27
checked on Dec 16, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.