A Multivariate Analysis of Static Code Attributes for Defect Prediction

@article{Turhan2007AMA,
  title={A Multivariate Analysis of Static Code Attributes for Defect Prediction},
  author={Burak Turhan and Ayse Basar Bener},
  journal={Seventh International Conference on Quality Software (QSIC 2007)},
  year={2007},
  pages={231-237}
}
Defect prediction is important in order to reduce test times by allocating valuable test resources effectively. In this work, we propose a model using multivariate approaches in conjunction with Bayesian methods for defect predictions. The motivation behind using a multivariate approach is to overcome the independence assumption of univariate approaches about software attributes. Using Bayesian methods gives practitioners an idea about the defectiveness of software modules in a probabilistic… CONTINUE READING

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