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Xiaolin Ju
Xiaolin Ju
Associate Professor of Nantong University
Verified email at ntu.edu.cn - Homepage
Title
Cited by
Cited by
Year
GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning
G Lu, X Ju, X Chen, W Pei, Z Cai
Journal of Systems and Software 212, 112031, 2024
1782024
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
942014
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
632017
GNet4FL: effective fault localization via graph convolutional neural network
J Qian, X Ju, X Chen
Automated Software Engineering 30 (2), 16, 2023
312023
An empirical study on combining source selection and transfer learning for cross-project defect prediction
W Wen, B Zhang, X Gu, X Ju
2019 IEEE 1st International Workshop on Intelligent Bug Fixing (IBF), 29-38, 2019
312019
Empirical studies on the impact of filter‐based ranking feature selection on security vulnerability prediction
X Chen, Z Yuan, Z Cui, D Zhang, X Ju
IET Software 15 (1), 75-89, 2021
252021
Survey of test case prioritization techniques for regression testing
X Chen, JH Chen, XL Ju, Q Gu
Journal of Software 24 (8), 1695-1712, 2013
252013
ProRLearn: boosting prompt tuning-based vulnerability detection by reinforcement learning
Z Ren, X Ju, X Chen, H Shen
Automated Software Engineering 31 (2), 38, 2024
232024
Impact of hyper parameter optimization for cross-project software defect prediction
Y Qu, X Chen, Y Zhao, X Ju
International Journal of Performability Engineering 14 (6), 1291, 2018
192018
Cost-effective testing based fault localization with distance based test-suite reduction
X Wang, S Jiang, P Gao, X Ju, R Wang, Y Zhang
Science China Information Sciences 60 (9), 092112, 2017
172017
AGFL: a graph convolutional neural network-based method for fault localization
J Qian, X Ju, X Chen, H Shen, Y Shen
2021 IEEE 21st International Conference on Software Quality, Reliability and …, 2021
162021
DP-share: Privacy-preserving software defect prediction model sharing through differential privacy
X Chen, D Zhang, ZQ Cui, Q Gu, XL Ju
Journal of Computer Science and Technology 34 (5), 1020-1038, 2019
162019
Review of dynamic fault localization approaches based on program spectrum
陈翔, 鞠小林, 文万志, 顾庆
Journal of Software 26 (2), 390-412, 2014
162014
卓越计划驱动下的软件测试技术课程教学改革
陈翔, 鞠小林
计算机教育, 14-17, 2013
162013
回归测试中的测试用例优先排序技术述评
陈翔, 陈继红, 鞠小林, 顾庆
软件学报, 2013
162013
Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study
C Zhao, Y Mu, X Chen, J Zhao, X Ju, G Wang
Information and Software Technology 150, 106982, 2022
152022
软件故障定位技术进展
鞠小林, 姜淑娟, 张艳梅, 董国伟
152012
Assessing the effectiveness of vulnerability detection via prompt tuning: An empirical study
G Lu, X Ju, X Chen, S Yang, L Chen, H Shen
2023 30th Asia-Pacific Software Engineering Conference (APSEC), 415-424, 2023
142023
基于程序频谱的动态缺陷定位方法研究
陈翔, 鞠小林, 文万志, 顾庆
软件学报 26 (2), 390-412, 2015
142015
Advances in fault localization techniques
J Xiaolin, J Shujuan, Z Yanmei, D Guowei
Journal of Frontiers of Computer Science & Technology 6 (6), 481, 2012
132012
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Articles 1–20