Now showing items 1-5 of 5

    • Further thoughts on precision 

      Gray, D.; Bowes, David; Davey, Neil; Sun, Yi; Christianson, B. (2011)
      Background: There has been much discussion amongst automated software defect prediction researchers regarding use of the precision and false positive rate classifier performance metrics. Aim: To demonstrate and explain why ...
    • Further thoughts on precision 

      Gray, D.; Bowes, David; Davey, N.; Sun, Yi; Christianson, B. (2011)
      Background: There has been much discussion amongst automated software defect prediction researchers regarding use of the precision and false positive rate classifier performance metrics. Aim: To demonstrate and explain why ...
    • The misuse of the NASA metrics data program data sets for automated software defect prediction 

      Gray, D.; Bowes, David; Davey, N.; Sun, Yi; Christianson, B. (Institution of Engineering and Technology (IET), 2011)
      Background: The NASA Metrics Data Program data sets have been heavily used in software defect prediction experiments. Aim: To demonstrate and explain why these data sets require significant pre-processing in order to be ...
    • Pepsinogen types in worm-free sheep and in sheep infected with Ostertagia circumcincta and Haemonchus contortus 

      Mostofa, M.; McKellar, Quintin; Eckersall, P. D.; Gray, D. (1990)
      Pepsinogen isolated from the plasma of Dorset wethers with abomasal burdens of Ostertagia circumcincta was found to have the same proportions of three zymogen subtypes as that isolated from the plasma of Merino wethers ...
    • A Systematic Literature Review on Fault Prediction Performance in Software Engineering 

      Hall, Tracy; Beecham, Sarah; Bowes, David; Gray, D.; Counsell, S. (2012)
      Background: The accurate prediction of where faults are likely to occur in code can help direct test effort, reduce costs, and improve the quality of software. Objective: We investigate how the context of models, the ...