Empirical validation of object-oriented metrics on open source software for fault prediction

作者: T. Gyimothy , R. Ferenc , I. Siket

DOI: 10.1109/TSE.2005.112

关键词:

摘要: … [1] found NOC to be very significant and they noticed that, the larger the value of NOC, the lower the probability of fault detection. According to Yu et al. [22], NOC was significant as well …

参考文章(21)
Steven L. Salzberg, Alberto Segre, Programs for Machine Learning ,(1994)
Christopher M. Bishop, Neural networks for pattern recognition ,(1995)
Beszé, Columbus - Reverse Engineering Tool and Schema for C++ international conference on software maintenance. pp. 172- ,(2002)
Lionel C. Briand, Jürgen Wüst, Empirical Studies of Quality Models in Object-Oriented Systems Advances in Computers. ,vol. 56, pp. 97- 166 ,(2002) , 10.1016/S0065-2458(02)80005-5
Stanley Lemeshow, David W. Hosmer, Applied Logistic Regression ,(1989)
Lionel C. Briand, Jürgen Wüst, John W. Daly, D. Victor Porter, Exploring the relationship between design measures and software quality in object-oriented systems Journal of Systems and Software. ,vol. 51, pp. 245- 273 ,(2000) , 10.1016/S0164-1212(99)00102-8
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) , 10.1109/TSE.2003.1191795
L.C. Briand, W.L. Melo, J. Wust, Assessing the applicability of fault-proneness models across object-oriented software projects IEEE Transactions on Software Engineering. ,vol. 28, pp. 706- 720 ,(2002) , 10.1109/TSE.2002.1019484
P. J. Finnigan, R. C. Holt, I. Kalas, S. Kerr, K. Kontogiannis, H. A. Muller, J. Mylopoulos, S. G. Perelgut, M. Stanley, K. Wong, The software bookshelf Ibm Systems Journal. ,vol. 36, pp. 564- 593 ,(1997) , 10.1147/SJ.364.0564