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Zhenyu Chen 0001
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Publications
- 2023
- [j47]Yuying Li, Yang Feng, Chao Guo, Zhenyu Chen, Baowen Xu:
Crowdsourced test case generation for android applications via static program analysis. Autom. Softw. Eng. 30(2): 26 (2023) - [j44]Rui Hao, Yuying Li, Yang Feng, Zhenyu Chen:
Are duplicates really harmful? An empirical study on bug report summarization techniques. J. Softw. Evol. Process. 35(11) (2023) - [c107]Yuying Li, Yang Feng, Rui Hao, Zhenyu Chen:
Human-Machine Collaborative Testing for Android Applications. QRS 2023: 440-451 - [c105]Yining Yin, Yang Feng, Shihao Weng, Zixi Liu, Yuan Yao, Yichi Zhang, Zhihong Zhao, Zhenyu Chen:
Dynamic Data Fault Localization for Deep Neural Networks. ESEC/SIGSOFT FSE 2023: 1345-1357 - [i29]Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, Baowen Xu:
Benchmarking Robustness of AI-enabled Multi-sensor Fusion Systems: Challenges and Opportunities. CoRR abs/2306.03454 (2023) - 2022
- [b2]Qing Wang, Zhenyu Chen, Junjie Wang, Yang Feng:
Intelligent Crowdsourced Testing. Springer 2022, ISBN 978-981-16-9642-8, pp. 1-251 - [j39]Yuying Li, Yang Feng, Rui Hao, Di Liu, Chunrong Fang, Zhenyu Chen, Baowen Xu:
Classifying crowdsourced mobile test reports with image features: An empirical study. J. Syst. Softw. 184: 111121 (2022) - [j38]Di Liu, Yang Feng, Xiaofang Zhang, James A. Jones, Zhenyu Chen:
Clustering Crowdsourced Test Reports of Mobile Applications Using Image Understanding. IEEE Trans. Software Eng. 48(4): 1290-1308 (2022) - [c102]Xinyu Gao, Yang Feng, Yining Yin, Zixi Liu, Zhenyu Chen, Baowen Xu:
Adaptive Test Selection for Deep Neural Networks. ICSE 2022: 73-85 - [c100]Zixi Liu, Yang Feng, Yining Yin, Zhenyu Chen:
DeepState: Selecting Test Suites to Enhance the Robustness of Recurrent Neural Networks. ICSE 2022: 598-609 - [c99]Pin Ji, Yang Feng, Jia Liu, Zhihong Zhao, Zhenyu Chen:
ASRTest: automated testing for deep-neural-network-driven speech recognition systems. ISSTA 2022: 189-201 - [c98]An Guo, Yang Feng, Zhenyu Chen:
LiRTest: augmenting LiDAR point clouds for automated testing of autonomous driving systems. ISSTA 2022: 480-492 - [c96]Zixi Liu, Yang Feng, Yining Yin, Jingyu Sun, Zhenyu Chen, Baowen Xu:
QATest: A Uniform Fuzzing Framework for Question Answering Systems. ASE 2022: 81:1-81:12 - 2021
- [j34]Weiqin Zou, David Lo, Pavneet Singh Kochhar, Xuan-Bach Dinh Le, Xin Xia, Yang Feng, Zhenyu Chen, Baowen Xu:
Smart Contract Development: Challenges and Opportunities. IEEE Trans. Software Eng. 47(10): 2084-2106 (2021) - [c89]Zixi Liu, Yang Feng, Zhenyu Chen:
DialTest: automated testing for recurrent-neural-network-driven dialogue systems. ISSTA 2021: 115-126 - 2020
- [j33]Yuan Zhao, Yang Feng, Yi Wang, Rui Hao, Chunrong Fang, Zhenyu Chen:
Quality assessment of crowdsourced test cases. Sci. China Inf. Sci. 63(9): 1-16 (2020) - [j31]Weiqin Zou, David Lo, Zhenyu Chen, Xin Xia, Yang Feng, Baowen Xu:
How Practitioners Perceive Automated Bug Report Management Techniques. IEEE Trans. Software Eng. 46(8): 836-862 (2020) - [c86]Yang Feng, Qingkai Shi, Xinyu Gao, Jun Wan, Chunrong Fang, Zhenyu Chen:
DeepGini: prioritizing massive tests to enhance the robustness of deep neural networks. ISSTA 2020: 177-188 - [c85]Ruixiang Qian, Yuan Zhao, Duo Men, Yang Feng, Qingkai Shi, Yong Huang, Zhenyu Chen:
Test recommendation system based on slicing coverage filtering. ISSTA 2020: 573-576 - [i9]Shengcheng Yu, Chunrong Fang, Yexiao Yun, Yang Feng, Zhenyu Chen:
Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing. CoRR abs/2008.05182 (2020) - 2019
- [j29]Ruizhi Gao, Yabin Wang, Yang Feng, Zhenyu Chen, W. Eric Wong:
Successes, challenges, and rethinking - an industrial investigation on crowdsourced mobile application testing. Empir. Softw. Eng. 24(2): 537-561 (2019) - [c80]Rui Hao, Yang Feng, James A. Jones, Yuying Li, Zhenyu Chen:
CTRAS: crowdsourced test report aggregation and summarization. ICSE 2019: 900-910 - [c72]Yuying Li, Rui Hao, Yang Feng, James A. Jones, Xiaofang Zhang, Zhenyu Chen:
CTRAS: a tool for aggregating and summarizing crowdsourced test reports. ISSTA 2019: 406-409 - [c70]Shengcheng Yu, Chunrong Fang, Yang Feng, Wenyuan Zhao, Zhenyu Chen:
LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform. ASE 2019: 1066-1069 - [c69]Xufan Zhang, Ziyue Yin, Yang Feng, Qingkai Shi, Jia Liu, Zhenyu Chen:
NeuralVis: Visualizing and Interpreting Deep Learning Models. ASE 2019: 1106-1109 - [i7]Qingkai Shi, Jun Wan, Yang Feng, Chunrong Fang, Zhenyu Chen:
DeepGini: Prioritizing Massive Tests to Reduce Labeling Cost. CoRR abs/1903.00661 (2019) - [i6]Xufan Zhang, Ziyue Yin, Yang Feng, Qingkai Shi, Jia Liu, Zhenyu Chen:
NeuralVis: Visualizing and Interpreting Deep Learning Models. CoRR abs/1906.00690 (2019) - [i2]Xufan Zhang, Yilin Yang, Yang Feng, Zhenyu Chen:
Software Engineering Practice in the Development of Deep Learning Applications. CoRR abs/1910.03156 (2019) - 2018
- [c64]Yang Feng, James A. Jones, Zhenyu Chen, Chunrong Fang:
An Empirical Study on Software Failure Classification with Multi-label and Problem-Transformation Techniques. ICST 2018: 320-330 - 2016
- [j17]Yang Feng, Qin Liu, Mengyu Dou, Jia Liu, Zhenyu Chen:
Mubug: a mobile service for rapid bug tracking. Sci. China Inf. Sci. 59(1): 1-5 (2016) - [j15]Qingkai Shi, Zhenyu Chen, Chunrong Fang, Yang Feng, Baowen Xu:
Measuring the Diversity of a Test Set With Distance Entropy. IEEE Trans. Reliab. 65(1): 19-27 (2016) - [c56]Yang Feng, James A. Jones, Zhenyu Chen, Chunrong Fang:
Multi-objective test report prioritization using image understanding. ASE 2016: 202-213 - 2015
- [c50]Yang Feng, Zhenyu Chen, James A. Jones, Chunrong Fang, Baowen Xu:
Test report prioritization to assist crowdsourced testing. ESEC/SIGSOFT FSE 2015: 225-236 - 2014
- [c49]Xin Xia, Yang Feng, David Lo, Zhenyu Chen, Xinyu Wang:
Towards more accurate multi-label software behavior learning. CSMR-WCRE 2014: 134-143 - [c44]Haoyu Yang, Chen Wang, Qingkai Shi, Yang Feng, Zhenyu Chen:
Bug Inducing Analysis to Prevent Fault Prone Bug Fixes. SEKE 2014: 620-625 - 2013
- [c39]Yanqin Huang, Junhua Wu, Yang Feng, Zhenyu Chen, Zhihong Zhao:
An empirical study on clustering for isolating bugs in fault localization. ISSRE (Supplemental Proceedings) 2013: 138-143 - [c34]Zebao Gao, Zhenyu Chen, Yang Feng, Bin Luo:
Mining Sequential Patterns of Predicates for Fault Localization and Understanding. SERE 2013: 109-118 - 2012
- [c30]Yang Feng, Zhenyu Chen:
Multi-label software behavior learning. ICSE 2012: 1305-1308 - [c24]Yabin Wang, Zhenyu Chen, Yang Feng, Bin Luo, Yijie Yang:
Using Weighted Attributes to Improve Cluster Test Selection. SERE 2012: 138-146 - 2011
- [c18]Songyu Chen, Zhenyu Chen, Zhihong Zhao, Baowen Xu, Yang Feng:
Using semi-supervised clustering to improve regression test selection techniques. ICST 2011: 1-10
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