A State of the art review on Software Defect Prediction Techniques
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Z. Wan, X. Xia, A.E. Hassan, D. Lo, J. Yin, X. Yang, ”Perceptions, expectations, and challenges in defect prediction,” IEEE Transactions on Software Engineering, vol. 46, pp. 1241-1266, 2018.
B. Boehm, V.R. Basili, ”Software defect reduction top 10 list,” Software engineering: Barry W. Boehm's lifetime contributions to software development, management, and research, vol. 34, pp. 75, 2007.
R. Subramanyam, M.S. Krishnan, ”Empirical analysis of ck metrics for object-oriented design complexity: Implications for software defects,” IEEE Transactions on software engineering, vol. 29, pp. 297-310, 2003.
N. Nagappan, T. Ball, A. Zeller, “Mining metrics to predict component failures,” in: Proceedings of the 28th international conference on Software engineering, 2006, pp. 452-461.
R. Moser, W. Pedrycz, G. Succi, “A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction,” in: Proceedings of the 30th international conference on Software engineering, 2008, pp. 181-190.
A.E. Hassan, “Predicting faults using the complexity of code changes,” in: 2009 IEEE 31st international conference on software engineering, IEEE, 2009, pp. 78-88.
N.E. Fenton, N. Ohlsson, ”Quantitative analysis of faults and failures in a complex software system,” IEEE Transactions on Software engineering, vol. 26, pp. 797-814, 2000.
T. Gyimóthy, R. Ferenc, I. Siket, ”Empirical validation of object-oriented metrics on open source software for fault prediction,” IEEE Transactions on Software engineering, vol. 31, pp. 897-910, 2005.
H. Liang, Y. Yu, L. Jiang, Z. Xie, ”Seml: A semantic LSTM model for software defect prediction,” IEEE Access, vol. 7, pp. 83812-83824, 2019.
N.E. Fenton, M. Neil, ”A critique of software defect prediction models,” IEEE Transactions on software engineering, vol. 25, pp. 675-689, 1999.
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