Statistical analysis for Activity-Based software estimation using Regression Approach

被引：0

作者：

Basavaraj, M. J. ^{[1
]}

Shet, K. C. ^{[2
]}

机构：

[1] Perot Syst, EPIP Pahse 2, Whitefield Ind Area, Bangalore 560066, Karnataka, India

[2] Natl Inst Technol Karnataka, Dept Comp, Surathkal, India

来源：

WORLD CONGRESS ON ENGINEERING 2007, VOLS 1 AND 2 | 2007年

关键词：

software estimation; regression;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Application Service Maintenance(ASM) projects mainly use Activity-Based software estimation methodology compared to Function Point or Lines of Code Estimation methodologies[ 1]. This is due to the nature of execution of ASM Projects differ with nature of execution of development projects. Activity based estimation methodology breaks estimation at each sub activities level of Software Development Life Cycle(SDLC) using work break down structure. Prediction of effort for each micro level activities of SDLC is really challenging one. Regression Analysis has been done for the data collected for some Enhancements of ASM projects. This paper explains how to predict the estimation for each micro level activities of SDLC by statistical analysis using Regression Approach. http://www.iaeng.org/publication/WCE2007/WCE2007_pp528-530.pdf

引用

页码：528 / +

页数：2