DocumentCode
790949
Title
Software measurement: uncertainty and causal modeling
Author
Fenton, Norman ; Krause, Paul ; Neil, Martin
Author_Institution
Univ. of London, UK
Volume
19
Issue
4
fYear
2002
Firstpage
116
Lastpage
122
Abstract
Software measurement can play an important risk management role during product development. For example, metrics incorporated into predictive models can give advance warning of potential risks. The authors show how to use Bayesian networks, a graphical modeling technique, to predict software defects and-perform "what if" scenarios.
Keywords
belief networks; risk management; software development management; software metrics; uncertainty handling; Bayesian networks; causal modelling; graphical modelling technique; risk management; software measurement; uncertainty; Bayesian methods; Cancer; Laboratories; Lungs; Predictive models; Programming; Project management; Risk management; Software measurement; Testing;
fLanguage
English
Journal_Title
Software, IEEE
Publisher
ieee
ISSN
0740-7459
Type
jour
DOI
10.1109/MS.2002.1020298
Filename
1020298
Link To Document