Risks associated to size estimation of e-commerce system using function point based estimation techniques

Abstract

Background/Objectives: To identify the risks associated to the size estimation of E-commerce systems with the help of existing and new metrics and values using function point based estimation techniques. Methods/Statistical Analysis: An innovative combined approach is required for finding the risks associated to the size estimation of E-Commerce system. Here we are using Function points, Risk analysis techniques and the basic size estimation techniques like Line of Codes, DELPHI etc. Findings: E-Commerce system is a versatile software having function points with variable behavior. Ranking the function points is very difficult with E-Commerce system. The existing metrics for calculating Complexity Adjustment Factor is not sufficient. It also faces the empirical risks like financial risks, environmental and ecological risks and security risks. Applications/Improvements: At last, it will give the risks associated to the size estimation using function points.