Now showing items 1-3 of 3

    • Building Classifiers to Identify Split Files. 

      Green, P. D.; Lane, P.C.R.; Rainer, A.; Scholz, S. (IbaI (Institute of Computer Vision & Applied Computer Sciences), 2009)
      We apply machine-learning techniques to help automate the process of mining the version history of software projects. Analysis of version histories is important in the study of software evolution. One of the associated ...
    • An Introduction to Slice-Based Cohesion and Coupling Metrics 

      Green, P. D.; Lane, P.C.R.; Rainer, A.; Scholz, S. (University of Hertfordshire, 2009)
      This report provides an overview of slice-based software metrics. It brings together information about the development of the metrics from Weiser’s original idea that program slices may be used in the measurement of program ...
    • Selecting Features in Origin Analysis 

      Green, P. D.; Lane, P.C.R.; Rainer, A.; Scholz, S. (Springer Nature, 2010)
      When applying a machine-learning approach to develop classifiers in a new domain, an important question is what measurements to take and how they will be used to construct informative features. This paper develops a novel ...