Utilizing Deep Architecture Networks of VAE in Software Fault Prediction
@article{Sun2018UtilizingDA, title={Utilizing Deep Architecture Networks of VAE in Software Fault Prediction}, author={Yuanyuan Sun and Lele Xu and Ye Li and Lili Guo and Zhongsong Ma and Yongming Wang}, journal={2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom)}, year={2018}, pages={870-877} }
No matter how experienced the programmers are, it is very hard for them to avoid software fault in software projects. How to predict fault in order to reduce risk and enhance the reliability of software is an important challenge in software engineering. With successful application of deep learning in the field of image processing, voice and natural language, it is time to study how to apply deep learning technology in the field of software fault prediction. In this paper, we adopt deep learning… CONTINUE READING
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