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Yang Feng 0003
Person information
- affiliation: Nanjing University, Nanjing, China
- affiliation: University of California, Irvine, CA, USA
Other persons with the same name
- Yang Feng — disambiguation page
- Yang Feng 0001
— University of Rochester, NY, USA
- Yang Feng 0002
- Yang Feng 0004
- Yang Feng 0005
- Yang Feng 0006
- Yang Feng 0007
- Yang Feng 0008
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2020 – today
- 2024
- [j24]Di Wu
Automatic recognizing relevant fragments of APIs using API references. Autom. Softw. Eng. 31(1): 3 (2024) - [j23]Di Wu
The future of API analytics. Autom. Softw. Eng. 31(2): 50 (2024) - [j22]Shihao Weng, Yang Feng
Seeing the invisible: test prioritization for object detection system. Empir. Softw. Eng. 29(6): 154 (2024) - [j21]Jiajun Tan
Towards assessing the quality of knowledge graphs via differential testing. Inf. Softw. Technol. 174: 107521 (2024) - [j20]Ziyuan Wang, Min Yu, Yang Feng, Weifeng Zhang:
Do we need high-order mutation in fault-based Boolean-specification testing? J. Syst. Softw. 210: 111933 (2024) - [j19]Yisi Han
Characterizing Developers' Linguistic Behaviors in Open Source Development across Their Social Statuses. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-33 (2024) - [j18]Xinmeng Xia
Enumerating Valid Non-Alpha-Equivalent Programs for Interpreter Testing. ACM Trans. Softw. Eng. Methodol. 33(5): 118:1-118:31 (2024) - [c51]Xinyu Gao
MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems. ICSE 2024: 139:1-139:13 - [c50]Zixi Liu
ObjTest: Object-Level Mutation for Testing Object Detection Systems. Internetware 2024 - [c49]Di Liu
Mining Fix Patterns for System Interaction Bugs. Internetware 2024 - [c48]Yining Yin
Datactive: Data Fault Localization for Object Detection Systems. ISSTA 2024: 895-907 - [c47]Xizhe Yin
FRIES: Fuzzing Rust Library Interactions via Efficient Ecosystem-Guided Target Generation. ISSTA 2024: 1137-1148 - [c46]Chengquan Zhang, Yang Feng, Yaokun Zhang, Yuxuan Dai, Baowen Xu:
Beyond Memory Safety: an Empirical Study on Bugs and Fixes of Rust Programs. QRS 2024: 272-283 - [i14]Xinyu Gao, Zhijie Wang, Yang Feng, Lei Ma, Zhenyu Chen, Baowen Xu:
MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems. CoRR abs/2401.14314 (2024) - [i13]Pin Ji, Yang Feng, Duo Wu, Lingyue Yan, Pengling Chen, Jia Liu, Zhihong Zhao:
MoCo: Fuzzing Deep Learning Libraries via Assembling Code. CoRR abs/2405.07744 (2024) - [i12]Yunbo Ni, Yang Feng, Zixi Liu, Runtao Chen, Baowen Xu:
Towards Fixing Panic Bugs for Real-world Rust Programs. CoRR abs/2408.03262 (2024) - 2023
- [j17]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) - [j16]Di Liu, Yang Feng
Towards understanding bugs in Python interpreters. Empir. Softw. Eng. 28(1): 19 (2023) - [j15]Yisi Han, Zhendong Wang, Yang Feng, Zhihong Zhao, Yi Wang
Cross-status communication and project outcomes in OSS development. Empir. Softw. Eng. 28(3): 78 (2023) - [j14]Rui Hao, Yuying Li, Yang Feng
Are duplicates really harmful? An empirical study on bug report summarization techniques. J. Softw. Evol. Process. 35(11) (2023) - [j13]Di Wu
Retrieving API Knowledge from Tutorials and Stack Overflow Based on Natural Language Queries. ACM Trans. Softw. Eng. Methodol. 32(5): 109:1-109:36 (2023) - [c45]Baowen Xu, Bei Chu, Hongcheng Fan, Yang Feng:
An Analysis of the Rust Programming Practice for Memory Safety Assurance. WISA 2023: 440-451 - [c44]Yanyan Yan, Yang Feng, Hongcheng Fan, Baowen Xu:
DLInfer: Deep Learning with Static Slicing for Python Type Inference. ICSE 2023: 2009-2021 - [c43]Shihao Weng
Prioritizing Testing Instances to Enhance the Robustness of Object Detection Systems. Internetware 2023: 194-204 - [c42]Yining Yin
Practical Accuracy Evaluation for Deep Learning Systems via Latent Representation Discrepancy. Internetware 2023: 205-215 - [c41]Xinmeng Xia, Yang Feng, Qingkai Shi:
Understanding Bugs in Rust Compilers. QRS 2023: 138-149 - [c40]Yuying Li, Yang Feng, Rui Hao, Zhenyu Chen:
Human-Machine Collaborative Testing for Android Applications. QRS 2023: 440-451 - [c39]Xinyu Gao
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities. ESEC/SIGSOFT FSE 2023: 871-882 - [c38]Yining Yin
Dynamic Data Fault Localization for Deep Neural Networks. ESEC/SIGSOFT FSE 2023: 1345-1357 - [c37]Zhonghao Pan, Yang Feng, Zhiyuan Li, Yunxin Liu, Yuanchun Li:
Understanding the Impact of Quantum Noise on Quantum Programs. SANER 2023: 426-437 - [d1]Xinyu Gao
Benchmarking Robustness of AI-enabled Multi-sensor Fusion Systems: Challenges and Opportunities. Zenodo, 2023 - [i11]Pin Ji, Yang Feng, Weitao Huang, Jia Liu, Zhihong Zhao:
NLPLego: Assembling Test Generation for Natural Language Processing Applications. CoRR abs/2302.10499 (2023) - [i10]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) - [i9]Yang Feng, Liao Pan, Di Wu, Liu Bo, Xingle Zhang:
MoD2T: Model-Data-Driven Motion-Static Object Tracking Method. CoRR abs/2312.17641 (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 - [j12]Yilin Yang, Tianxing He, Yang Feng
Mining Python fix patterns via analyzing fine-grained source code changes. Empir. Softw. Eng. 27(2): 48 (2022) - [j11]Yilin Yang
A comprehensive empirical study on bug characteristics of deep learning frameworks. Inf. Softw. Technol. 151: 107004 (2022) - [j10]Yuying Li, Yang Feng, Rui Hao, Di Liu, Chunrong Fang
Classifying crowdsourced mobile test reports with image features: An empirical study. J. Syst. Softw. 184: 111121 (2022) - [j9]Di Liu, Yang Feng
Clustering Crowdsourced Test Reports of Mobile Applications Using Image Understanding. IEEE Trans. Software Eng. 48(4): 1290-1308 (2022) - [c36]Xinyu Gao
Adaptive Test Selection for Deep Neural Networks. ICSE 2022: 73-85 - [c35]Zixi Liu, Yang Feng, Yining Yin, Zhenyu Chen:
DeepState: Selecting Test Suites to Enhance the Robustness of Recurrent Neural Networks. ICSE 2022: 598-609 - [c34]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 - [c33]An Guo
LiRTest: augmenting LiDAR point clouds for automated testing of autonomous driving systems. ISSTA 2022: 480-492 - [c32]Zixi Liu, Yang Feng, Yining Yin, Jingyu Sun, Zhenyu Chen
QATest: A Uniform Fuzzing Framework for Question Answering Systems. ASE 2022: 81:1-81:12 - 2021
- [j8]Weiqin Zou
Smart Contract Development: Challenges and Opportunities. IEEE Trans. Software Eng. 47(10): 2084-2106 (2021) - [c31]Xincheng He, Lei Xu, Xiangyu Zhang, Rui Hao, Yang Feng, Baowen Xu:
PyART: Python API Recommendation in Real-Time. ICSE (Companion Volume) 2021: 246-247 - [c30]Shengcheng Yu, Chunrong Fang
Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing. ICSE 2021: 1561-1571 - [c29]Xincheng He, Lei Xu, Xiangyu Zhang, Rui Hao, Yang Feng, Baowen Xu:
PyART: Python API Recommendation in Real-Time. ICSE 2021: 1634-1645 - [c28]Yi Wang, Yang Feng, Min Zhang
The Necessity of Low-code Engineering for Industrial Software Development: A Case Study and Reflections. ISSRE Workshops 2021: 415-420 - [c27]Zixi Liu, Yang Feng, Zhenyu Chen:
DialTest: automated testing for recurrent-neural-network-driven dialogue systems. ISSTA 2021: 115-126 - [c26]Pin Ji, Yang Feng, Jia Liu, Zhihong Zhao, Baowen Xu:
Automated Testing for Machine Translation via Constituency Invariance. ASE 2021: 468-479 - [i8]Xincheng He, Lei Xu, Xiangyu Zhang, Rui Hao, Yang Feng, Baowen Xu:
PyART: Python API Recommendation in Real-Time. CoRR abs/2102.04706 (2021) - [i7]Yisi Han, Zhendong Wang, Yang Feng, Zhihong Zhao, Yi Wang:
Cross-status Communication and Project Outcomesin OSS Development A Language Style Matching Perspective. CoRR abs/2104.05538 (2021) - 2020
- [j7]Yuan Zhao, Yang Feng, Yi Wang, Rui Hao, Chunrong Fang
Quality assessment of crowdsourced test cases. Sci. China Inf. Sci. 63(9): 1-16 (2020) - [j6]Zhendong Wang
Unveiling Elite Developers' Activities in Open Source Projects. ACM Trans. Softw. Eng. Methodol. 29(3): 16:1-16:35 (2020) - [j5]Long Zhang
Improving Fault-Localization Accuracy by Referencing Debugging History to Alleviate Structure Bias in Code Suspiciousness. IEEE Trans. Reliab. 69(3): 1021-1049 (2020) - [j4]Weiqin Zou
How Practitioners Perceive Automated Bug Report Management Techniques. IEEE Trans. Software Eng. 46(8): 836-862 (2020) - [c25]Wanwangying Ma, Lin Chen, Xiangyu Zhang, Yang Feng, Zhaogui Xu, Zhifei Chen, Yuming Zhou, Baowen Xu
Impact analysis of cross-project bugs on software ecosystems. ICSE 2020: 100-111 - [c24]Zhendong Wang, Yang Feng, Yi Wang, James A. Jones, David F. Redmiles:
Elite developers' activities at open source ecosystem level. ICSE (Companion Volume) 2020: 312-313 - [c23]Joshua Garcia, Yang Feng, Junjie Shen, Sumaya Almanee, Yuan Xia, Qi Alfred Chen:
A comprehensive study of autonomous vehicle bugs. ICSE 2020: 385-396 - [c22]Yang Feng, Qingkai Shi
DeepGini: prioritizing massive tests to enhance the robustness of deep neural networks. ISSTA 2020: 177-188 - [c21]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 - [i6]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)
2010 – 2019
- 2019
- [b1]Yang Feng:
Leveraging the Power of Crowds: Automated Test Report Processing for The Maintenance of Mobile Applications. University of California, Irvine, USA, 2019 - [j3]Ruizhi Gao
Successes, challenges, and rethinking - an industrial investigation on crowdsourced mobile application testing. Empir. Softw. Eng. 24(2): 537-561 (2019) - [c20]Wen Shen, Yang Feng, Cristina V. Lopes:
Multi-Winner Contests for Strategic Diffusion in Social Networks. AAAI 2019: 6154-6162 - [c19]Rui Hao, Yang Feng, James A. Jones, Yuying Li, Zhenyu Chen:
CTRAS: crowdsourced test report aggregation and summarization. ICSE 2019: 900-910 - [c18]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 - [c17]Shengcheng Yu
LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform. ASE 2019: 1066-1069 - [c16]Xufan Zhang, Ziyue Yin, Yang Feng, Qingkai Shi, Jia Liu, Zhenyu Chen:
NeuralVis: Visualizing and Interpreting Deep Learning Models. ASE 2019: 1106-1109 - [i5]Qingkai Shi, Jun Wan, Yang Feng, Chunrong Fang, Zhenyu Chen:
DeepGini: Prioritizing Massive Tests to Reduce Labeling Cost. CoRR abs/1903.00661 (2019) - [i4]Xufan Zhang, Ziyue Yin, Yang Feng, Qingkai Shi, Jia Liu, Zhenyu Chen:
NeuralVis: Visualizing and Interpreting Deep Learning Models. CoRR abs/1906.00690 (2019) - [i3]Zhendong Wang, Yang Feng, Yi Wang, James A. Jones, David F. Redmiles:
Unveiling Elite Developers' Activities in Open Source Projects. CoRR abs/1908.08196 (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
- [c15]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 - [c14]Yang Feng, Kaj Dreef, James A. Jones, Arie van Deursen
Hierarchical abstraction of execution traces for program comprehension. ICPC 2018: 86-96 - [c13]Can Zhu, Xiaofang Zhang, Yang Feng, Lin Chen:
An Empirical Study of the Impact of Code Smell on File Changes. QRS 2018: 238-248 - [c12]Di Liu, Xiaofang Zhang, Yang Feng, James A. Jones:
Generating descriptions for screenshots to assist crowdsourced testing. SANER 2018: 492-496 - [i1]Wen Shen, Yang Feng, Cristina V. Lopes:
Multi-Winner Contests for Strategic Diffusion in Social Networks. CoRR abs/1811.05624 (2018) - 2017
- [c11]Chunrong Fang, Qingkai Shi, Yang Feng, Zicong Liu, Xiaofang Zhang, Baowen Xu
Predicate Interpretation Analysis Based on Soot. SEKE 2017: 278-282 - [c10]Chunrong Fang, Yang Feng, Qingkai Shi, Zicong Liu, Shuying Li, Baowen Xu
Fault Interference and Coupling Effect. SEKE 2017: 501-506 - 2016
- [j2]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) - [j1]Qingkai Shi
Measuring the Diversity of a Test Set With Distance Entropy. IEEE Trans. Reliab. 65(1): 19-27 (2016) - [c9]Yang Feng, James A. Jones, Zhenyu Chen, Chunrong Fang
Multi-objective test report prioritization using image understanding. ASE 2016: 202-213 - 2015
- [c8]Yang Feng, Zhenyu Chen, James A. Jones, Chunrong Fang
Test report prioritization to assist crowdsourced testing. ESEC/SIGSOFT FSE 2015: 225-236 - 2014
- [c7]Xin Xia
Towards more accurate multi-label software behavior learning. CSMR-WCRE 2014: 134-143 - [c6]Haoyu Yang, Chen Wang, Qingkai Shi, Yang Feng, Zhenyu Chen:
Bug Inducing Analysis to Prevent Fault Prone Bug Fixes. SEKE 2014: 620-625 - 2013
- [c5]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 - [c4]Zebao Gao, Zhenyu Chen, Yang Feng, Bin Luo:
Mining Sequential Patterns of Predicates for Fault Localization and Understanding. SERE 2013: 109-118 - 2012
- [c3]Yang Feng, Zhenyu Chen:
Multi-label software behavior learning. ICSE 2012: 1305-1308 - [c2]Yabin Wang, Zhenyu Chen, Yang Feng, Bin Luo, Yijie Yang:
Using Weighted Attributes to Improve Cluster Test Selection. SERE 2012: 138-146 - 2011
- [c1]Songyu Chen, Zhenyu Chen, Zhihong Zhao, Baowen Xu
Using semi-supervised clustering to improve regression test selection techniques. ICST 2011: 1-10
Coauthor Index
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last updated on 2024-11-19 21:46 CET by the dblp team
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