Xiang Chen

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Qing GuNanjing UniversityVerificeret mail på nju.edu.cn
Xiaolin JuAssociate Professor of Nantong UniversityVerificeret mail på ntu.edu.cn
Guang YangNanjing University of Aeronautics and AstronauticsVerificeret mail på nuaa.edu.cn
Chao NiZhejiang UniversityVerificeret mail på zju.edu.cn
Yingquan ZhaoTianjin UniversityVerificeret mail på tju.edu.cn
Xiaoxue WuInformation EngineeringVerificeret mail på yzu.edu.cn
Ke LiuNational University of Defense TechnologyVerificeret mail på nudt.edu.cn
Xin XiaChief Expert of the Software Engineering Application Technology, Huawei Technologies, ChinaVerificeret mail på acm.org
Yanzhou MuNanjing universityVerificeret mail på smail.nju.edu.cn
Yu ZhouNanjing University of Aeronautics and AstronauticsVerificeret mail på nuaa.edu.cn
Taolue ChenSchool of Computing and Mathematical Sciences, Birkbeck, University of LondonVerificeret mail på bbk.ac.uk
Zheng LiProfessor, Beijing University of Chemical TechnologyVerificeret mail på ieee.org
Xiaobing SunYangzhou UniversityVerificeret mail på yzu.edu.cn
xiangyu zhang南京航空航天大学Verificeret mail på nuaa.edu.cn
David LoProfessor of Computer Science, Singapore Management UniversityVerificeret mail på smu.edu.sg
Zhidan YuanJiangsu Maritime InstituteVerificeret mail på jmi.edu.cn
Paul DoyleHead of School of Computer ScienceVerificeret mail på tudublin.ie
Guilong LuNantong universityVerificeret mail på stmail.ntu.edu.cn
Shangqing LiuNanjing UniversityVerificeret mail på nju.edu.cn
Wenlong PeiNantong UniversityVerificeret mail på stmail.ntu.edu.cn

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Xiang Chen

Andre navne陈翔

Associate Professor, Nantong University, China

Verificeret mail på ntu.edu.cn - Startside

LLM4SE Software Testing and Maintenance Software Repository Mining Empirical Software Engineering


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	147	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	131	2019
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	120	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	114	2019
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	114	2009
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	101	2015
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	100	2021
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	99	2017
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	95	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	89	2019
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	88	2021
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
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	86	2014
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	84	2020
Interpretability application of the Just-in-Time software defect prediction model W Zheng, T Shen, X Chen, P Deng Journal of Systems and Software 188, 111245, 2022	78	2022
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	76	2021
DeepCount: Crowd counting with WiFi via deep learning S Liu, Y Zhao, F Xue, B Chen, X Chen arXiv preprint arXiv:1903.05316, 2019	69	2019
Survey of static software defect prediction X Chen, Q Gu, WS Liu, S Liu, C Ni Journal of Software 27 (1), 1-25, 2016	65	2016
The impact factors on the performance of machine learning-based vulnerability detection: A comparative study W Zheng, J Gao, X Wu, F Liu, Y Xun, G Liu, X Chen Journal of Systems and Software 168, 110659, 2020	64	2020
DeepCPDP: Deep learning based cross-project defect prediction D Chen, X Chen, H Li, J Xie, Y Mu IEEE Access 7, 184832-184848, 2019	59	2019

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