Yang Feng

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 49

Top Topics

Natural Language

Image Recognition

Top Venues

ACM Trans. Softw. Eng. Methodol.

Publications

Zixi Liu, Yang Feng, Jiali Xu, Baowen Xu
ObjTest: Object-Level Mutation for Testing Object Detection Systems. Internetware (2024)
Yisi Han, Zhendong Wang, Yang Feng, Zhihong Zhao, Yi Wang
Characterizing Developers' Linguistic Behaviors in Open Source Development across Their Social Statuses. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Pin Ji, Yang Feng, Duo Wu, Lingyue Yan, Pengling Chen, Jia Liu, Zhihong Zhao
MoCo: Fuzzing Deep Learning Libraries via Assembling Code. CoRR (2024)
Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, Baowen Xu
MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems. ICSE (2024)
Ziyuan Wang, Min Yu, Yang Feng, Weifeng Zhang
Do we need high-order mutation in fault-based Boolean-specification testing? J. Syst. Softw. 210 (2024)
Jiajun Tan, Dong Wang, Jingyu Sun, Zixi Liu, Xiaoruo Li, Yang Feng
Towards assessing the quality of knowledge graphs via differential testing. Inf. Softw. Technol. 174 (2024)
Xinmeng Xia, Yang Feng, Qingkai Shi, James A. Jones, Xiangyu Zhang, Baowen Xu
Enumerating Valid Non-Alpha-Equivalent Programs for Interpreter Testing. ACM Trans. Softw. Eng. Methodol. 33 (5) (2024)
Di Liu, Yanyan Yan, Hongcheng Fan, Yang Feng
Mining Fix Patterns for System Interaction Bugs. Internetware (2024)
Baowen Xu, Bei Chu, Hongcheng Fan, Yang Feng
An Analysis of the Rust Programming Practice for Memory Safety Assurance. WISA (2023)
Di Wu, Xiao-Yuan Jing, Hongyu Zhang, Yang Feng, Haowen Chen, Yuming Zhou, Baowen Xu
Retrieving API Knowledge from Tutorials and Stack Overflow Based on Natural Language Queries. ACM Trans. Softw. Eng. Methodol. 32 (5) (2023)
Pin Ji, Yang Feng, Weitao Huang, Jia Liu, Zhihong Zhao
NLPLego: Assembling Test Generation for Natural Language Processing Applications. CoRR (2023)
Shihao Weng, Yang Feng, Yining Yin, Jia Liu
Prioritizing Testing Instances to Enhance the Robustness of Object Detection Systems. Internetware (2023)
Yisi Han, Zhendong Wang, Yang Feng, Zhihong Zhao, Yi Wang
Cross-status communication and project outcomes in OSS development. Empir. Softw. Eng. 28 (3) (2023)
Yanyan Yan, Yang Feng, Hongcheng Fan, Baowen Xu
DLInfer: Deep Learning with Static Slicing for Python Type Inference. ICSE (2023)
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)
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)
Yining Yin, Yang Feng, Zixi Liu, Zhihong Zhao
Practical Accuracy Evaluation for Deep Learning Systems via Latent Representation Discrepancy. Internetware (2023)
Di Liu, Yang Feng, Yanyan Yan, Baowen Xu
Towards understanding bugs in Python interpreters. Empir. Softw. Eng. 28 (1) (2023)
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 (2023)
Yuying Li, Yang Feng, Rui Hao, Zhenyu Chen
Human-Machine Collaborative Testing for Android Applications. QRS (2023)
Xinyu Gao, Yang Feng, Yining Yin, Zixi Liu, Zhenyu Chen, Baowen Xu
Adaptive Test Selection for Deep Neural Networks. ICSE (2022)
Pin Ji, Yang Feng, Jia Liu, Zhihong Zhao, Zhenyu Chen
ASRTest: automated testing for deep-neural-network-driven speech recognition systems. ISSTA (2022)
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 (2022)
An Guo, Yang Feng, Zhenyu Chen
LiRTest: augmenting LiDAR point clouds for automated testing of autonomous driving systems. ISSTA (2022)
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) (2022)
Zixi Liu, Yang Feng, Yining Yin, Zhenyu Chen
DeepState: Selecting Test Suites to Enhance the Robustness of Recurrent Neural Networks. ICSE (2022)
Yilin Yang, Tianxing He, Zhilong Xia, Yang Feng
A comprehensive empirical study on bug characteristics of deep learning frameworks. Inf. Softw. Technol. 151 (2022)
Xincheng He, Lei Xu, Xiangyu Zhang, Rui Hao, Yang Feng, Baowen Xu
PyART: Python API Recommendation in Real-Time. ICSE (2021)
Xincheng He, Lei Xu, Xiangyu Zhang, Rui Hao, Yang Feng, Baowen Xu
PyART: Python API Recommendation in Real-Time. CoRR (2021)
Shengcheng Yu, Chunrong Fang, Yexiao Yun, Yang Feng
Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing. ICSE (2021)
Xincheng He, Lei Xu, Xiangyu Zhang, Rui Hao, Yang Feng, Baowen Xu
PyART: Python API Recommendation in Real-Time. ICSE (Companion Volume) (2021)
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) (2020)
Zhendong Wang, Yang Feng, Yi Wang, James A. Jones, David F. Redmiles
Unveiling Elite Developers' Activities in Open Source Projects. ACM Trans. Softw. Eng. Methodol. 29 (3) (2020)
Long Zhang, Zijie Li, Yang Feng, Zhenyu Zhang, Wing Kwong Chan, Jian Zhang, Yuming Zhou
Improving Fault-Localization Accuracy by Referencing Debugging History to Alleviate Structure Bias in Code Suspiciousness. IEEE Trans. Reliab. 69 (3) (2020)
Shengcheng Yu, Chunrong Fang, Yexiao Yun, Yang Feng, Zhenyu Chen
Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing. CoRR (2020)
Yuan Zhao, Yang Feng, Yi Wang, Rui Hao, Chunrong Fang, Zhenyu Chen
Quality assessment of crowdsourced test cases. Sci. China Inf. Sci. 63 (9) (2020)
Xufan Zhang, Ziyue Yin, Yang Feng, Qingkai Shi, Jia Liu, Zhenyu Chen
NeuralVis: Visualizing and Interpreting Deep Learning Models. CoRR (2019)
Qingkai Shi, Jun Wan, Yang Feng, Chunrong Fang, Zhenyu Chen
DeepGini: Prioritizing Massive Tests to Reduce Labeling Cost. CoRR (2019)
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)
Shengcheng Yu, Chunrong Fang, Yang Feng, Wenyuan Zhao, Zhenyu Chen
LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform. ASE (2019)
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) (2019)
Xufan Zhang, Yilin Yang, Yang Feng, Zhenyu Chen
Software Engineering Practice in the Development of Deep Learning Applications. CoRR (2019)
Xufan Zhang, Ziyue Yin, Yang Feng, Qingkai Shi, Jia Liu, Zhenyu Chen
NeuralVis: Visualizing and Interpreting Deep Learning Models. ASE (2019)
Rui Hao, Yang Feng, James A. Jones, Yuying Li, Zhenyu Chen
CTRAS: crowdsourced test report aggregation and summarization. ICSE (2019)
Zhendong Wang, Yang Feng, Yi Wang, James A. Jones, David F. Redmiles
Unveiling Elite Developers' Activities in Open Source Projects. CoRR (2019)
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)
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) (2016)
Yang Feng, James A. Jones, Zhenyu Chen, Chunrong Fang
Multi-objective test report prioritization using image understanding. ASE (2016)
Yang Feng, Qin Liu, Mengyu Dou, Jia Liu, Zhenyu Chen
Mubug: a mobile service for rapid bug tracking. Sci. China Inf. Sci. 59 (1) (2016)
Yang Feng, Zhenyu Chen, James A. Jones, Chunrong Fang, Baowen Xu
Test report prioritization to assist crowdsourced testing. ESEC/SIGSOFT FSE (2015)
Xin Xia, Yang Feng, David Lo, Zhenyu Chen, Xinyu Wang
Towards more accurate multi-label software behavior learning. CSMR-WCRE (2014)
Haoyu Yang, Chen Wang, Qingkai Shi, Yang Feng, Zhenyu Chen
Bug Inducing Analysis to Prevent Fault Prone Bug Fixes. SEKE (2014)
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)
Zebao Gao, Zhenyu Chen, Yang Feng, Bin Luo
Mining Sequential Patterns of Predicates for Fault Localization and Understanding. SERE (2013)
Yang Feng, Zhenyu Chen
Multi-label software behavior learning. ICSE (2012)
Yabin Wang, Zhenyu Chen, Yang Feng, Bin Luo, Yijie Yang
Using Weighted Attributes to Improve Cluster Test Selection. SERE (2012)
Songyu Chen, Zhenyu Chen, Zhihong Zhao, Baowen Xu, Yang Feng
Using semi-supervised clustering to improve regression test selection techniques. ICST (2011)