Output details
11 - Computer Science and Informatics
Brunel University London
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Output 0 of 0 in the submission
Article title
DConfusion: a technique to allow cross study performance evaluation of fault prediction studies
Type
D - Journal article
Title of journal
Automated Software Engineering
Article number
-
Volume number
n/a
Issue number
-
First page of article
n/a
ISSN of journal
1573-7535
Year of publication
2013
Number of additional authors
2
Additional information
<9> This is a substantially extended version of the paper that received the best paper award at PROMISE 2012 – the foremost prediction conference in software engineering (the conference version is not returned). This paper reports a tool that solves a major previous obstacle to the cross comparison of fault prediction models – i.e. that the predictive performance of models is usually reported using incomparable measures.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
