Q. P. Hu - researchr alias

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Viewing Publication 1 - 13 from 13

2017

An Approach for Reliability Demonstration Test Based on Power-Law Growth ModelJ. Y. Xu, D. Yu, M. Xie, Q. P. Hu. qre, 33(8):1719-1730, 2017. [doi]

2015

Bayesian analysis for NHPP-based software fault detection and correction processesL. J. Wang, Q. P. Hu, M. Xie. ieem 2015: 1046-1050 [doi]

2014

Testing effort dependent software reliability model for imperfect debugging process considering both detection and correctionRui Peng, Y. F. Li, W. J. Zhang, Q. P. Hu. ress, 126:37-43, 2014. [doi]

2010

Testing Effort Dependent Software FDP and FCP Models with Consideration of Imperfect DebuggingR. Peng, Q. P. Hu, Szu-Hui Ng, M. Xie. ssiri 2010: 141-146 [doi]

2008

On the Trend of Remaining Software Defect EstimationC.-G. Bai, K.-Y. Cai, Q. P. Hu, Szu-Hui Ng. tsmc, 38(5):1129-1142, 2008. [doi]

2007

Software Reliability Predictions using Artificial Neural NetworksQ. P. Hu, M. Xie, Szu-Hui Ng. In Gregory Levitin, editor, Intelligence in Reliability Engineering: New Metaheuristics, Neural and Fuzzy Techniques in Reliability. Volume 40 of Studies in Computational Intelligence, pages 197-222, Springer, 2007. [doi]

Robust recurrent neural network modeling for software fault detection and correction predictionQ. P. Hu, Min Xie 0001, Szu-Hui Ng, Gregory Levitin. ress, 92(3):332-340, 2007. [doi]

Modeling and Analysis of Software Fault Detection and Correction Process by Considering Time DependencyY. P. Wu, Q. P. Hu, M. Xie, S. H. Ng. tr, 56(4):629-642, 2007. [doi]

2006

2005

Software failure prediction based on a Markov Bayesian network modelChenggang Bai, Q. P. Hu, M. Xie, Szu-Hui Ng. jss, 74(3):275-282, 2005. [doi]

Bayesian Networks Modeling for Software Inspection EffectivenessY. P. Wu, Q. P. Hu, S. H. Ng, M. Xie. prdc 2005: 65-74 [doi]

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