Automatically learning semantic features for defect prediction

作者: Song Wang , Taiyue Liu , Lin Tan

DOI: 10.1145/2884781.2884804

关键词:

摘要: … features [31] based on dependencies, CK features [5] based on … Bayes based defect prediction model with semantic features … are relations among existing features. Since the existing …

参考文章(72)
Lu Zhang, Ge Li, Zhi Jin, Lili Mou, Tao Wang, TBCNN: A Tree-Based Convolutional Neural Network for Programming Language Processing. arXiv: Learning. ,(2014)
Razvan Pascanu, Jack W. Stokes, Hermineh Sanossian, Mady Marinescu, Anil Thomas, Malware classification with recurrent networks international conference on acoustics, speech, and signal processing. pp. 1916- 1920 ,(2015) , 10.1109/ICASSP.2015.7178304
Mark A. Hall, Ian H. Witten, Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques ,(1999)
Christopher D. Manning, Hinrich Schütze, Foundations of Statistical Natural Language Processing ,(1999)
Xinli Yang, David Lo, Xin Xia, Yun Zhang, Jianling Sun, Deep Learning for Just-in-Time Defect Prediction 2015 IEEE International Conference on Software Quality, Reliability and Security. pp. 17- 26 ,(2015) , 10.1109/QRS.2015.14
David M Blei, Andrew Y Ng, Michael I Jordan, None, Latent dirichlet allocation Journal of Machine Learning Research. ,vol. 3, pp. 993- 1022 ,(2003) , 10.5555/944919.944937
Karim O. Elish, Mahmoud O. Elish, Predicting defect-prone software modules using support vector machines Journal of Systems and Software. ,vol. 81, pp. 649- 660 ,(2008) , 10.1016/J.JSS.2007.07.040
Ruhi Sarikaya, Geoffrey E. Hinton, Anoop Deoras, Application of Deep Belief Networks for natural language understanding IEEE Transactions on Audio, Speech, and Language Processing. ,vol. 22, pp. 778- 784 ,(2014) , 10.1109/TASLP.2014.2303296
T.J. McCabe, A Complexity Measure IEEE Transactions on Software Engineering. ,vol. SE-2, pp. 308- 320 ,(1976) , 10.1109/TSE.1976.233837