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11 - Computer Science and Informatics

Brunel University London

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Output 39 of 117 in the submission

Article title

Evaluating prediction systems in software project estimation

Type

D - Journal article

DOI

10.1016/j.infsof.2011.12.008

Title of journal

Information and Software Technology

Article number

Volume number

Issue number

First page of article

820

ISSN of journal

09505849

Year of publication

2012

URL

http://www.sciencedirect.com/science/article/pii/S095058491200002X/pdfft?md5=008b48128e8931315e03b2507bc87a64&pid=1-s2.0-S095058491200002X-main.pdf

Number of additional authors

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

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract