Active Learning for Software Defect Prediction

[1]  Taghi M. Khoshgoftaar,et al.  Software Quality Analysis of Unlabeled Program Modules With Semisupervised Clustering , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[2]  Burak Turhan,et al.  Implications of ceiling effects in defect predictors , 2008, PROMISE '08.

[3]  Cagatay Catal,et al.  Software fault prediction: A literature review and current trends , 2011, Expert Syst. Appl..

[4]  Tim Menzies,et al.  Data Mining Static Code Attributes to Learn Defect Predictors , 2007 .

[5]  Anil K. Jain.  Data clustering: 50 years beyond K-means , 2010, Pattern Recognit. Lett..

[6]  Banu Diri,et al.  Unlabelled extra data do not always mean extra performance for semi‐supervised fault prediction , 2009, Expert Syst. J. Knowl. Eng..

[7]  Daphne Koller,et al.  Support Vector Machine Active Learning with Applications to Text Classification , 2000, J. Mach. Learn. Res..

[8]  Taghi M. Khoshgoftaar,et al.  Software quality classification modeling using the SPRINT decision tree algorithm , 2002, 14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings..

[9]  Guangchun Luo,et al.  Transfer learning for cross-company software defect prediction , 2012, Inf. Softw. Technol..

[10]  Taghi M. Khoshgoftaar,et al.  Analyzing software measurement data with clustering techniques , 2004, IEEE Intelligent Systems.

[11]  Osamu Mizuno,et al.  Prediction of Fault-Prone Software Modules Using a Generic Text Discriminator , 2008, IEICE Trans. Inf. Syst..

[12]  Banu Diri,et al.  Clustering and Metrics Thresholds Based Software Fault Prediction of Unlabeled Program Modules , 2009, 2009 Sixth International Conference on Information Technology: New Generations.

[13]  Banu Diri,et al.  Metrics-Driven Software Quality Prediction Without Prior Fault Data , 2010 .