Xiang Chen （陈翔）

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i10-index	80	68

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Qing GuNanjing UniversityVerified email at nju.edu.cn
Chao NiZhejiang UniversityVerified email at zju.edu.cn
Xiaolin JuSchool of Computer Science and Technology, NTUVerified email at ntu.edu.cn
Guang YangNanjing University of Aeronautics and AstronauticsVerified email at nuaa.edu.cn
Yingquan ZhaoTianjin UniversityVerified email at tju.edu.cn
Xin XiaDirector of the Software Engineering Application Technology Lab, Huawei Technologies, ChinaVerified email at acm.org
Yanzhou MuNanjing universityVerified email at smail.nju.edu.cn
Xiaobing SunYangzhou UniversityVerified email at yzu.edu.cn
Zheng LiProfessor, Beijing University of Chemical TechnologyVerified email at ieee.org
Shangqing LiuNanyang Technological UniversityVerified email at e.ntu.edu.sg
Paul DoyleHead of School of Computer ScienceVerified email at tudublin.ie
Taolue ChenDepartment of Computer Science, Birkbeck, University of LondonVerified email at bbk.ac.uk
Junjie ChenAssociate Professor, Tianjin UniversityVerified email at tju.edu.cn
David LoProfessor of Computer Science, Singapore Management UniversityVerified email at smu.edu.sg
Christoph TreudeSenior Lecturer in Software Engineering, Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Yu ZhouNanjing University of Aeronautics and AstronauticsVerified email at nuaa.edu.cn
Zeyu SunZhongguancun LaboratoryVerified email at zgclab.edu.cn
Liu ShuangTianjin UniversityVerified email at tju.edu.cn
Sun JunProfessor of SCIS, SMUVerified email at smu.edu.sg
Wenyuan XuAarhus UniversityVerified email at cs.au.dk

Xiang Chen （陈翔）

Associate Professor, Nantong University, China

Verified email at ntu.edu.cn - Homepage

AI4SE Software Repository Mining Empirical Software Engineering Software Defect Prediction


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Variable strength interaction testing with an ant colony system approach X Chen, Q Gu, A Li, D Chen 2009 16th Asia-Pacific Software Engineering Conference, 160-167, 2009	120	2009
MULTI: Multi-objective effort-aware just-in-time software defect prediction X Chen, Y Zhao, Q Wang, Z Yuan Information and Software Technology 93, 1-13, 2018	117	2018
Improving defect prediction with deep forest T Zhou, X Sun, X Xia, B Li, X Chen Information and Software Technology 114, 204-216, 2019	101	2019
Empirical studies of a two-stage data preprocessing approach for software fault prediction W Liu, S Liu, Q Gu, J Chen, X Chen, D Chen IEEE Transactions on Reliability 65 (1), 38-53, 2015	100	2015
Improving high-impact bug report prediction with combination of interactive machine learning and active learning X Wu, W Zheng, X Chen, Y Zhao, T Yu, D Mu Information and Software Technology 133, 106530, 2021	96	2021
Software defect number prediction: Unsupervised vs supervised methods X Chen, D Zhang, Y Zhao, Z Cui, C Ni Information and Software Technology 106, 161-181, 2019	93	2019
Applying particle swarm optimization to pairwise testing X Chen, Q Gu, J Qi, D Chen 2010 IEEE 34th Annual Computer Software and Applications Conference, 107-116, 2010	93	2010
An empirical study on pareto based multi-objective feature selection for software defect prediction C Ni, X Chen, F Wu, Y Shen, Q Gu Journal of Systems and Software 152, 215-238, 2019	92	2019
FECAR: A feature selection framework for software defect prediction S Liu, X Chen, W Liu, J Chen, Q Gu, D Chen 2014 IEEE 38th Annual Computer Software and Applications Conference, 426-435, 2014	88	2014
A cluster based feature selection method for cross-project software defect prediction C Ni, WS Liu, X Chen, Q Gu, DX Chen, QG Huang Journal of Computer Science and Technology 32, 1090-1107, 2017	82	2017
Survey of static software defect prediction 陈翔，顾庆，刘望舒，刘树龙，倪超 Journal of Software 27 (1), 1-25, 2015	78	2015
HSFal: Effective fault localization using hybrid spectrum of full slices and execution slices X Ju, S Jiang, X Chen, X Wang, Y Zhang, H Cao Journal of Systems and Software 90, 3-17, 2014	77	2014
A comparative study of class rebalancing methods for security bug report classification W Zheng, Y Xun, X Wu, Z Deng, X Chen, Y Sui IEEE Transactions on Reliability 70 (4), 1658-1670, 2021	74	2021
A comprehensive study of deep learning compiler bugs Q Shen, H Ma, J Chen, Y Tian, SC Cheung, X Chen Proceedings of the 29th ACM Joint meeting on european software engineering …, 2021	64	2021
Revisiting supervised and unsupervised methods for effort-aware cross-project defect prediction C Ni, X Xia, D Lo, X Chen, Q Gu IEEE Transactions on Software Engineering 48 (3), 786-802, 2020	62	2020
Building prioritized pairwise interaction test suites with ant colony optimization X Chen, Q Gu, X Zhang, D Chen 2009 ninth international conference on quality software, 347-352, 2009	54	2009
DeepCount: Crowd counting with WiFi via deep learning S Liu, Y Zhao, F Xue, B Chen, X Chen arXiv preprint arXiv:1903.05316, 2019	53	2019
Automated query reformulation for efficient search based on query logs from stack overflow K Cao, C Chen, S Baltes, C Treude, X Chen 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021	52	2021
Deepcpdp: Deep learning based cross-project defect prediction D Chen, X Chen, H Li, J Xie, Y Mu IEEE Access 7, 184832-184848, 2019	48	2019
Applying feature selection to software defect prediction using multi-objective optimization X Chen, Y Shen, Z Cui, X Ju 2017 IEEE 41st annual computer software and applications conference (COMPSAC …, 2017	44	2017

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