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Developing fault-prediction models: What the research can show industry

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Developing fault-prediction models: What the research can show industry. / Hall, T.; Beecham, S.; Bowes, D. et al.
In: IEEE Software, Vol. 28, No. 6, 01.11.2011, p. 96-99.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Hall, T, Beecham, S, Bowes, D, Gray, D & Counsell, S 2011, 'Developing fault-prediction models: What the research can show industry', IEEE Software, vol. 28, no. 6, pp. 96-99. https://doi.org/10.1109/MS.2011.138

APA

Hall, T., Beecham, S., Bowes, D., Gray, D., & Counsell, S. (2011). Developing fault-prediction models: What the research can show industry. IEEE Software, 28(6), 96-99. https://doi.org/10.1109/MS.2011.138

Vancouver

Hall T, Beecham S, Bowes D, Gray D, Counsell S. Developing fault-prediction models: What the research can show industry. IEEE Software. 2011 Nov 1;28(6):96-99. doi: 10.1109/MS.2011.138

Author

Hall, T. ; Beecham, S. ; Bowes, D. et al. / Developing fault-prediction models : What the research can show industry. In: IEEE Software. 2011 ; Vol. 28, No. 6. pp. 96-99.

Bibtex

@article{616ceaf3e5dd4081ac5bd0989e53d1c2,
title = "Developing fault-prediction models: What the research can show industry",
abstract = "A systematic review of the research literature on fault-prediction models from 2000 through 2010 identified 36 studies that sufficiently defined their models and development context and methodology. The authors quantitatively analyzed 19 of these studies and the 206 models they presented. They identified several key features to help industry software developers build or optimize fault-prediction models suitable to their specific contexts.",
author = "T. Hall and S. Beecham and D. Bowes and D. Gray and S. Counsell",
year = "2011",
month = nov,
day = "1",
doi = "10.1109/MS.2011.138",
language = "English",
volume = "28",
pages = "96--99",
journal = "IEEE Software",
issn = "0740-7459",
publisher = "Institute of Electrical and Electronics Engineers",
number = "6",

}

RIS

TY - JOUR

T1 - Developing fault-prediction models

T2 - What the research can show industry

AU - Hall, T.

AU - Beecham, S.

AU - Bowes, D.

AU - Gray, D.

AU - Counsell, S.

PY - 2011/11/1

Y1 - 2011/11/1

N2 - A systematic review of the research literature on fault-prediction models from 2000 through 2010 identified 36 studies that sufficiently defined their models and development context and methodology. The authors quantitatively analyzed 19 of these studies and the 206 models they presented. They identified several key features to help industry software developers build or optimize fault-prediction models suitable to their specific contexts.

AB - A systematic review of the research literature on fault-prediction models from 2000 through 2010 identified 36 studies that sufficiently defined their models and development context and methodology. The authors quantitatively analyzed 19 of these studies and the 206 models they presented. They identified several key features to help industry software developers build or optimize fault-prediction models suitable to their specific contexts.

U2 - 10.1109/MS.2011.138

DO - 10.1109/MS.2011.138

M3 - Journal article

VL - 28

SP - 96

EP - 99

JO - IEEE Software

JF - IEEE Software

SN - 0740-7459

IS - 6

ER -