• Data stream mining for predicting software build outcomes using source code metrics

      Finlay, J; Pears, R; Connor, AM (Elsevier, 2014)
      Context: Software development projects involve the use of a wide range of tools to produce a software artifact. Software repositories such as source control systems have become a focus for emergent research because they ...
    • Evaluating the quality of Drupal software modules

      Denham, B; Pears, R; Connor, AM (World Scientific Publishing, 2018)
      Evaluating software modules for inclusion in a Drupal website is a crucial and complex task that currently requires manual assessment of a number of module facets. This study applied data-mining techniques to identify ...
    • Synthetic Minority Over-sampling TEchnique (SMOTE) for predicting software build outcomes

      Pears, R; Finlay, JA; Connor, AM (Knowledge Systems Institute Graduate School, 2014)
      In this research we use a data stream approach to mining data and construct decision Tree models that predict software build outcomes in terms of software metrics that are derived from source code used in the software ...