Referenced Items are not available for this document.
Risk correlation is an important topic in software development. This study applied meta-analysis to both collect risk checklists and compose a natural language description set of 1932 sentences. Co-word analysis was performed to obtain a word co-occurrence matrix. The correlation network features were then analyzed in the form of a social network. Characters including density, centrality, distance and core/periphery were put forward about the risk correlation network. The high frequency risk word list and related network conclusions are helpful for software risk management.
Published in:
Business Intelligence and Financial Engineering (BIFE), 2012 Fifth International Conference on
Date of Conference: 18-21 Aug. 2012
- Page(s):
- 308 - 312
- Print ISBN:
- 978-1-4673-2092-4
- INSPEC Accession Number:
- 13000738
- Conference Location :
- Lanzhou
- Digital Object Identifier :
- 10.1109/BIFE.2012.71
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
