Deep Learning for Just-in-Time Defect Prediction

@article{Yang2015DeepLF,
  title={Deep Learning for Just-in-Time Defect Prediction},
  author={Xinli Yang and David Lo and Xin Xia and Yun Zhang and Jianling Sun},
  journal={2015 IEEE International Conference on Software Quality, Reliability and Security},
  year={2015},
  pages={17-26}
}
Defect prediction is a very meaningful topic, particularly at change-level. Change-level defect prediction, which is also referred as just-in-time defect prediction, could not only ensure software quality in the development process, but also make the developers check and fix the defects in time. Nowadays, deep learning is a hot topic in the machine learning literature. Whether deep learning can be used to improve the performance of just-in-time defect prediction is still uninvestigated. In this… CONTINUE READING
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