Predict Software Failure-prone by Learning Bayesian Network

  title={Predict Software Failure-prone by Learning Bayesian Network},
  author={Yuyang Liu and Wooi Ping Cheah and Byung-Ki Kim and Hyukro Park},
We explore the software metrics and build a Bayesian Network Model for defect prediction. Much previous work has concentrated on how to select the software metrics that are most likely to indicate fault-proneness, based on the hypnosis that these metrics are independent. But in reality, software metric values are predicted not only correlated with fault-proneness, but also observed internal complex relationship with each other. In this paper, we build a Bayesian network model to represent the… CONTINUE READING
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