References
Albrecht, A. J. and Gaffney, J. Software function, source lines of code, and development effort prediction: a software science validation. IEEE Transaction Software Engineering, 9(6), 639–648, 1983.
Aljahdali, S. H. and Buragga, K. A. Employing four ANNs paradigm for Software Reliability Prediction: an Analytical study. ICGST International Journal on Artificial Intelligence and Machine Learning, 8(2), 1–8, 2008.
Alsmadi, I. and Najadat, H. Evaluating the change of software fault behavior with data set attributes on categorical correlation. Advances in Engineering Software, 42(8), 535–546, 2011.
Asad, C. A., Ullah, M, I. and Rehman, M. J. An Approach for Software Reliability Model Selection. Proceedings of 28th Annual international conference on computer software and applications, 534–539, 2004.
Bai, C. G. Bayesian Network Based Software Reliability Prediction with an Operational Profile. The Journal of Systems and Software, 77(2), 103–112, 2005b.
Bai, C.G., Hu, Q. P., Xie, M. and Ng, S.H. Software Failure Prediction Based on a Markov Bayesian Network Model. The Journal of Systems and Software, 74(3), 275–282, 2005a.
Berry, M.J.A. and Linoff, G. Data Mining Techniques for Marketing Sales, and Customer Support. Wiley, New York, 1997.
Bigus, J. P. Data Mining with Neural Networks. McGraw-Hill, New York, 1996.
Boehm, B. W. Industrial software metrics top 10 list. IEEE Software, 4(5), 84–85, 1987.
Boehm, B. W. Software Engineering Economics. Prentice-Hall, Englewood Cliffs, ...
Get Artificial Neural Network Applications for Software Reliability Prediction now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
