A Data-Driven Model for Software Development Risk Analysis Using Bayesian Networks

Author

Feng, Nan ; Li, Minqiang ; Xie, Jing ; Fang, Deying

Author_Institution

Sch. of Manage., Tianjin Univ., Tianjin

fYear

2008

fDate

28-29 Sept. 2008

Firstpage

1

Lastpage

5

Abstract

In this paper, a data-driven model based on Bayesian Networks (BNs) is presented for the risk analysis of software development. The modeling process consists of three phases: BN initialization, conflict analysis, and risk monitoring and analysis. Using new project data obtained from the process of software development, the model can continually estimate risk probability, identify the sources of risk, and perform model revision. The significance of the work is that the model provides more objective and visible support for risk analysis in software development.

Keywords

belief networks; risk analysis; software engineering; systems analysis; Bayesian networks; conflict analysis; data-driven model; risk monitoring; software development risk analysis; Bayesian methods; Costs; Educational institutions; Electronic mail; Monitoring; Programming; Risk analysis; Risk management; Software development management; Software systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Management of Information for Globalized Enterprises, 2008. AMIGE 2008. IEEE Symposium on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-3694-1

Electronic_ISBN

978-1-4244-2972-1

Type

conf

DOI

10.1109/AMIGE.2008.ECP.16

Filename

4721458