Software Fault Prediction of Unlabeled Program Modules

[1]  Taghi M. Khoshgoftaar,et al.  Unsupervised learning for expert-based software quality estimation , 2004, Eighth IEEE International Symposium on High Assurance Systems Engineering, 2004. Proceedings..

[2]  Jianhong Wu,et al.  Data clustering - theory, algorithms, and applications , 2007 .

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

[4]  Yuming Zhou,et al.  Empirical Analysis of Object-Oriented Design Metrics for Predicting High and Low Severity Faults , 2006, IEEE Transactions on Software Engineering.

[5]  Banu Diri,et al.  A systematic review of software fault prediction studies , 2009, Expert Syst. Appl..

[6]  Banu Diri,et al.  Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem , 2009, Inf. Sci..

[7]  Songul Albayrak,et al.  FUZZY C-MEANS CLUSTERING ON MEDICAL DIAGNOSTIC SYSTEMS , 2003 .

[8]  Taghi M. Khoshgoftaar,et al.  An empirical study of predicting software faults with case-based reasoning , 2006, Software Quality Journal.

[9]  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.

[10]  Javam C. Machado,et al.  The prediction of faulty classes using object-oriented design metrics , 2001, J. Syst. Softw..

[11]  Andrew W. Moore,et al.  X-means: Extending K-means with Efficient Estimation of the Number of Clusters , 2000, ICML.

[12]  Pavel Berkhin,et al.  A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.

[13]  Rui Xu,et al.  Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.

[14]  Taghi M. Khoshgoftaar,et al.  Experimental perspectives on learning from imbalanced data , 2007, ICML '07.

[15]  Taghi M. Khoshgoftaar,et al.  Software quality estimation with limited fault data: a semi-supervised learning perspective , 2007, Software Quality Journal.

[16]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[17]  Bojan Cukic,et al.  A Statistical Framework for the Prediction of Fault-Proneness , 2007 .

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

[19]  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.