A Risk Measurement Model of Software Project Based on Grey Variable Weight Clustering analysis

Abstract

Effectively identifying and analyzing risks are critical to ensuring the quality of software project. Risk measurement analysis of software project is a process of multi-factor, fuzziness, hierarchy and complexity, in response to which we carry out a research on the multi-level risk measurement of software project, and propose a multi-level risk measurement model of software project based on grey variable weight clustering analysis. The model first analyzes factors influencing risk measurement analysis of software project, and on this basis, an evaluation index system of multi-level risk measurement analysis is established. Then, considering that evaluation indexes may exert different influences on risk measurement, we propose a risk measurement model of software project based on grey variable weight clustering analysis. Finally, a gray close-degree model is established between software project and various risk categories, and the rank for risk measurement of software project is confirmed based on close degrees. Additionally, a practical case analysis is presented to illustrate and verify the proposed model and algorithms.