Output details
11 - Computer Science and Informatics
Queen Mary University of London
Article title
On the effectiveness of early life cycle defect prediction with Bayesian Nets
Type
D - Journal article
Title of journal
Empirical Software Engineering: an international journal
Article number
-
Volume number
13
Issue number
5
First page of article
499
ISSN of journal
1382-3256
Year of publication
2008
Number of additional authors
5
Additional information
<09>This paper provides a comprehensive description of the results of several years of work using Bayesian network models to improve software engineering processes. Much of this work was performed in collaboration with Phillips and this paper explains how data from 31 Phillips software projects was used as part of the model validation. Variants of the models described have now been used by major companies (including Motorola, Siemens, Orange, Tellabs) - see www.agenarisk.com and contact Ed Tranham, Commercial Director, for details (ed@agena.co.uk).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
27
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
