Deep Semantic Feature Learning for Software Defect Prediction
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junjie, 2017, Domain adaptation for test report classification in crowdsourced testing, Proc 39th Int Conf Softw Eng, 83
jin, 2017, Semantically enhanced software traceability using deep learning techniques, Proc 39th Int Conf Softw Eng, 3
karpathy, 2016, Visualizing and understanding recurrent networks, Proc Workshop Int Conf Learn Represent, 1
witten, 2005, Data Mining Practical Machine Learning Tools and Techniques
mnih, 2009, A scalable hierarchical distributed language model, Proc 21st Int Conf Neural Inf Process Syst, 1081
blei, 2003, Latent dirichlet allocation, J Mach Learn Res, 3, 993
martin, 1994, Oo design quality metrics, An analysis of dependencies, 12, 151
chen, 2012, Explaining software defects using topic models, Proc 9th IEEE Working Conf Mining Software Repositories, 189
manning, 1999, Foundations of Statistical Natural Language Processing
krizhevsky, 2012, ImageNet classification with deep convolutional neural networks, Proc 25th Int Conf Neural Inf Process Syst, 1097
quah, 2003, Application of neural networks for software quality prediction using object-oriented metrics, Proc IEEE Int Conf Softw Maintenance, 116
radford, 2017, Learning to generate reviews and discovering sentiment, arXiv 1704 01444
mou, 2016, Convolutional neural networks over tree structures for programming language processing, Proc 30th AAAI Conf Artif Intell, 1287
nagappan, 2005, Use of relative code churn measures to predict system defect density, Proc 27th Int l Conf Software Eng, 284
tao, 2010, Naive bayes software defect prediction model, Proc Int Conf Comput Intell Softw Eng, 1
tantithamthavorn, 2015, The impact of mislabelling on the performance and interpretation of defect prediction models, Proceedings of the International Conference on Software Engineering ICSE'94, 812
watanabe, 2008, Adapting a fault prediction model to allow inter language reuse, Proc Intl Conf on Predictive Models in Soft Eng, 19
frakes, 1992, Information Retrieval Data Structures and Algorithms
gayatri, 2010, Feature selection using decision tree induction in class level metrics dataset for software defect predictions, World Congress on Engineering and Computer Science, 124
halstead, 1977, Elements of Software Science (Operating and Programming Systems Series)
salakhutdinov, 2007, Semantic hashing, RBM'07, 500
seide, 2011, Conversational speech transcription using context-dependent deep neural networks, Proc 12th Annu Conf Int Speech Commun Assoc, 437
?liwerski, 2005, When do changes induce fixes?, Proc Sixth ACM SIGSOFT Int'l Symp Foundations of Software Eng, 1