Browsing Research publications by Author "Gray, David"
Now showing items 1-7 of 7
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Comparing the performance of fault prediction models which report multiple performance measures : recomputing the confusion matrix
Bowes, David; Hall, Tracy; Gray, David (ACM Press, 2012)There are many hundreds of fault prediction models published in the literature. The predictive performance of these models is often reported using a variety of different measures. Most performance measures are not directly ... -
DConfusion: A technique to allow cross study performance evaluation of fault prediction studies.
Bowes, David; Hall, Tracy; Gray, David (2014-04)There are many hundreds of fault prediction models published in the literature. The predictive performance of these models is often reported using a variety of different measures. Most performance measures are not directly ... -
Developing Fault-Prediction Models : What the research can show industry
Hall, Tracy; Beecham, Sarah; Bowes, David; Gray, David; Counsell, Steve (2011)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 ... -
E-Learning for Teachers and Trainers : Innovative Practices, Skills and Competences
Coulon, Arnaud; Battezzati, Luciano; Walker, Richard; Gray, David; Ryan, Malcolm (CEDEFOP, 2004) -
Predicting drug absorption rates through human skin
Sun, Yi.; Lam, L.Y.; Moss, G.P.; Prapopoulou, M.; Adams, R.G.; Davey, N.; Gray, David; Brown, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2010)Predicting the rate at which a substance will pass through human skin and into the bloodstream is a problem of current interest. We use Gaussian Process modeling to train a set of predictors using every combination of six ... -
Software defect prediction using static code metrics underestimates defect-proneness
Gray, David; Bowes, David; Davey, N.; Sun, Yi; Christianson, B. (Institute of Electrical and Electronics Engineers (IEEE), 2010)Many studies have been carried out to predict the presence of software code defects using static code metrics. Such studies typically report how a classifier performs with real world data, but usually no analysis of the ... -
Using the support vector machine as a classification method for software defect prediction with static code metrics
Gray, David; Bowes, D.; Davey, N.; Sun, Yi; Christianson, B. (2009)The automated detection of defective modules within software systems could lead to reduced development costs and more reliable software. In this work the static code metrics for a collection of modules contained within ...