Output details
11 - Computer Science and Informatics
Brunel University London
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Output 0 of 0 in the submission
Article title
Evaluating prediction systems in software project estimation
Type
D - Journal article
Title of journal
Information and Software Technology
Article number
-
Volume number
54
Issue number
8
First page of article
820
ISSN of journal
09505849
Year of publication
2012
Number of additional authors
1
Additional information
<9> This work arose from an EPSRC travel grant EP/H050329 that enabled MJS to collaborate with Prof. MacDonell at the Auckland University of Technology. It is important as it offers a rigorous and unbiased means of assessing prediction systems without which meaningful guidance cannot be given to software practitioners. Since publication (Aug 2012) it is already shaping how other researchers formally evaluate prediction systems e.g. groups at Birmingham University, West Virginia University, Strathclyde, the University of Chinese Academy of Sciences and UCL.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
5
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-