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Tao Zhang
Tao Zhang
School of Computer Science and Engineering, Macau University of Science and Technology
Verified email at must.edu.mo - Homepage
Title
Cited by
Cited by
Year
Software defect prediction based on kernel PCA and weighted extreme learning machine
Z Xu, J Liu, X Luo, Z Yang, Y Zhang, P Yuan, Y Tang, T Zhang
Information and Software Technology 106, 182-200, 2019
1692019
Towards more accurate severity prediction and fixer recommendation of software bugs
T Zhang, J Chen, G Yang, B Lee, X Luo
Journal of Systems and Software 117, 166-184, 2016
1602016
Towards semi-automatic bug triage and severity prediction based on topic model and multi-feature of bug reports
G Yang, T Zhang, B Lee
2014 IEEE 38th Annual Computer Software and Applications Conference, 97-106, 2014
1472014
Can we trust the privacy policies of android apps?
L Yu, X Luo, X Liu, T Zhang
2016 46th Annual IEEE/IFIP International Conference on Dependable Systems …, 2016
1112016
A Literature Review of Research in Bug Resolution: Tasks, Challenges and Future Directions
T Zhang, H Jiang, X Luo, ATS Chan
The Computer Journal 59 (5), 741-773, 2016
852016
An unsupervised approach for discovering relevant tutorial fragments for APIs
H Jiang, J Zhang, Z Ren, T Zhang
2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE …, 2017
772017
Rosf: Leveraging information retrieval and supervised learning for recommending code snippets
H Jiang, L Nie, Z Sun, Z Ren, W Kong, T Zhang, X Luo
IEEE Transactions on Services Computing 12 (1), 34-46, 2016
762016
Cross-version defect prediction via hybrid active learning with kernel principal component analysis
Z Xu, J Liu, X Luo, T Zhang
2018 IEEE 25th International Conference on Software Analysis, Evolution and …, 2018
742018
AutoPPG: Towards Automatic Generation of Privacy Policy for Android Applications
L Yu, T Zhang, X Luo, L Xue
Proceedings of the 5th Annual ACM CCS Workshop on Security and Privacy in …, 2015
682015
Cross project defect prediction via balanced distribution adaptation based transfer learning
Z Xu, S Pang, T Zhang, XP Luo, J Liu, YT Tang, X Yu, L Xue
Journal of Computer Science and Technology 34, 1039-1062, 2019
662019
A hybrid bug triage algorithm for developer recommendation
T Zhang, B Lee
Proceedings of the 28th annual ACM symposium on applied computing, 1088-1094, 2013
652013
GaitLock: Protect virtual and augmented reality headsets using gait
Y Shen, H Wen, C Luo, W Xu, T Zhang, W Hu, D Rus
IEEE Transactions on Dependable and Secure Computing 16 (3), 484-497, 2018
582018
Bug severity prediction using question-and-answer pairs from Stack Overflow
Y Tan, S Xu, Z Wang, T Zhang, Z Xu, X Luo
Journal of Systems and Software 165, 110567, 2020
572020
Predicting severity of bug report by mining bug repository with concept profile
T Zhang, G Yang, B Lee, ATS Chan
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 1553-1558, 2015
572015
A novel developer ranking algorithm for automatic bug triage using topic model and developer relations
T Zhang, G Yang, B Lee, EK Lua
2014 21st Asia-Pacific Software Engineering Conference 1, 223-230, 2014
562014
LDFR: Learning deep feature representation for software defect prediction
Z Xu, S Li, J Xu, J Liu, X Luo, Y Zhang, T Zhang, J Keung, Y Tang
Journal of Systems and Software 158, 110402, 2019
542019
Towards Automatically Generating Privacy Policy for Android Apps
L Yu, T Zhang, X Luo, L Xue, H Chang
IEEE Transactions on Information Forensics and Security 12 (4), 865 - 880, 2016
542016
Bug report enrichment with application of automated fixer recommendation
T Zhang, J Chen, H Jiang, X Luo, X Xia
2017 IEEE/ACM 25th International Conference on Program Comprehension (ICPC …, 2017
522017
An Automated Bug Triage Approach: A Concept Profile and Social Network Based Developer Recommendation
T Zhang, B Lee
Intelligent Computing Technology, 505-512, 2012
472012
Selfapr: Self-supervised program repair with test execution diagnostics
H Ye, M Martinez, X Luo, T Zhang, M Monperrus
Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022
452022
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