Q. P. Hu

12 papers C 3Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2017 J jnl
An Approach for Reliability Demonstration Test Based on Power-Law Growth Model.
Qual. Reliab. Eng. Int.
J. Y. Xu, D. Yu, M. Xie, Q. P. Hu
2014 J jnl
Testing effort dependent software reliability model for imperfect debugging process considering both detection and correction.
Reliab. Eng. Syst. Saf.
Rui Peng, Y. F. Li, W. J. Zhang, Q. P. Hu
2010 — conf
Testing Effort Dependent Software FDP and FCP Models with Consideration of Imperfect Debugging.
SSIRI
Rui Peng, Q. P. Hu, Szu Hui Ng, Min Xie
2008 J jnl
On the Trend of Remaining Software Defect Estimation.
IEEE Trans. Syst. Man Cybern. Part A
Chenggang Bai, Kai-Yuan Cai, Q. P. Hu, Szu Hui Ng
2007 J jnl
Modeling and Analysis of Software Fault Detection and Correction Process by Considering Time Dependency.
IEEE Trans. Reliab.
Y. P. Wu, Q. P. Hu, Min Xie, Szu Hui Ng
2007 J jnl
Robust recurrent neural network modeling for software fault detection and correction prediction.
Reliab. Eng. Syst. Saf.
Q. P. Hu, Min Xie, Szu Hui Ng, Gregory Levitin
2007 — ch.
Software Reliability Predictions using Artificial Neural Networks.
Intelligence in Reliability Engineering
Q. P. Hu, Min Xie, Szu Hui Ng
2006 C conf
Detection and Correction Process Modeling Considering the Time Dependency.
PRDC
Y. P. Wu, Q. P. Hu, Min Xie, Szu Hui Ng
2006 C conf
Early Software Reliability Prediction with ANN Models.
PRDC
Q. P. Hu, Min Xie, Szu Hui Ng
2006 — conf
Early Software Reliability Prediction with Extended ANN Model.
COMPSAC (2)
Q. P. Hu, Yuan-Shun Dai, Min Xie, Szu Hui Ng
2005 C conf
Bayesian Networks Modeling for Software Inspection Effectiveness.
PRDC
Y. P. Wu, Q. P. Hu, Szu Hui Ng, Min Xie
2005 J jnl
Software failure prediction based on a Markov Bayesian network model.
J. Syst. Softw.
Chenggang Bai, Q. P. Hu, Min Xie, Szu Hui Ng
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski