An exploratory study of risks in information system development projects: using association rule mining
by Eun Hee Kim, Yongtae Park
International Journal of Technology Intelligence and Planning (IJTIP), Vol. 2, No. 4, 2006

Abstract: A better understanding of the distinguishing characteristics of risks in different software development phases is vital if we are to reduce the possibility of project failure. This paper explores the relationships among major system development risks, considering the development stages during which an individual risk factor with critical impact on system development projects, occurs. The survey data collected from system development experts in Korea was analysed using association rule mining, which is one of the best-known data mining methods. The findings from the association rules among the risks presented distinctive features of risks in terms of individual development phases. The results of this research should be valuable for industrial practitioners in understanding the risk occurrence mechanism in each development stage and to mitigate the difficulties in advance.

Online publication date: Sat, 16-Dec-2006

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Technology Intelligence and Planning (IJTIP):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com