By Topic

A model based on information entropy to measure developer turnover risk on software project

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Jiang Rong ; School of Information, Yunnan University of Finance and Economics, Kunming, China ; Liao Hongzhi ; Yu Jiankun ; Feng Tao
more authors

Risk can conduce to failure of software project, and make a loss for the enterprise. It is a focus topic for software engineering researchers. Developer turnover risk is a great risk at the process of software project, yet, few scholars pay attention to it. We can use information entropy to measure effectively the uniformity of each subsystem. In this paper, we provided a quantitative measure model based on information entropy to measure developer turnover risk on software project. The more uniformly developers influence the project, the smaller the risk is. Otherwise, the core developer turnover will make a huge fluctuation to the project. We not only have analyzed the model rationality, but have provided a model case. And the data required in the model can be got in the company. The model is scientific and reasonable, which has been indicated in practice, and can be used as basis to control the turnover risk.

Published in:

Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on

Date of Conference:

8-11 Aug. 2009