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2020 – today
- 2024
[j13]Yiheng Shen, Xiaolin Ju, Xiang Chen, Guang Yang:
Bash comment generation via data augmentation and semantic-aware CodeBERT. Autom. Softw. Eng. 31(1): 30 (2024)- [j12]Zilong Ren, Xiaolin Ju, Xiang Chen, Hao Shen:
ProRLearn: boosting prompt tuning-based vulnerability detection by reinforcement learning. Autom. Softw. Eng. 31(2): 38 (2024) - [j11]Guilong Lu
, Xiaolin Ju, Xiang Chen, Wenlong Pei, Zhilong Cai:
GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning. J. Syst. Softw. 212: 112031 (2024) - [c15]Yucheng Zhang, Chenqiang Shen, Xiaolin Ju, Hao Shen, Xiang Chen:
Ada4DP: Adversarial Enhanced Dual-Attentive Aggregation Learning for Defect Prediction. QRS Companion 2024: 709-718 - 2023
- [j10]Jie Qian, Xiaolin Ju, Xiang Chen:
GNet4FL: effective fault localization via graph convolutional neural network. Autom. Softw. Eng. 30(2): 16 (2023) - [c14]Guilong Lu, Xiaolin Ju, Xiang Chen, Shaoyu Yang, Liang Chen, Hao Shen:
Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study. APSEC 2023: 415-424 - [c13]Hao Shen, Xiaolin Ju, Xiang Chen, Guang Yang:
EDP-BGCNN: Effective Defect Prediction via BERT-based Graph Convolutional Neural Network. COMPSAC 2023: 850-859 - [c12]Yiheng Shen, Xiaolin Ju, Xiang Chen, Guang Yang:
An Empirical Study of Adversarial Training in Code Comment Generation. SEKE 2023: 292-297 - 2022
- [j9]Chunyu Zhao, Yanzhou Mu, Xiang Chen, Jingke Zhao, Xiaolin Ju, Gan Wang:
Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study. Inf. Softw. Technol. 150: 106982 (2022) - [c11]Zhihua Chen, Xiaolin Ju, Guilong Lu, Xiang Chen:
Blocking Bugs Identification via Binary Relevance and Logistic Regression Analysis. DSA 2022: 335-345 - [c10]Xiangyu Shi, Xiaolin Ju, Xiang Chen, Guilong Lu, Mengqi Xu:
SemirFL: Boosting Fault Localization via Combining Semantic Information and Information Retrieval. QRS Companion 2022: 324-332 - 2021
- [j8]Xiang Chen, Zhidan Yuan, Zhanqi Cui, Dun Zhang, Xiaolin Ju:
Empirical studies on the impact of filter-based ranking feature selection on security vulnerability prediction. IET Softw. 15(1): 75-89 (2021) - [c9]Jie Qian, Xiaolin Ju, Xiang Chen, Hao Shen, Yiheng Shen:
AGFL: A Graph Convolutional Neural Network-Based Method for Fault Localization. QRS 2021: 672-680 - [c8]Zhihua Chen, Xiaolin Ju, Yiheng Shen, Xiang Chen:
Improving Blocking Bug Pair Prediction via Hybrid Deep Learning. QRS Companion 2021: 727-732 - 2020
- [j7]Xiaolin Ju, Jie Qian, Zhihua Chen, Chunyu Zhao, Junyan Qian:
Mulr4FL: Effective Fault Localization of Evolution Software Based on Multivariate Logistic Regression Model. IEEE Access 8: 207858-207870 (2020)
2010 – 2019
- 2019
- [j6]Xiang Chen, Dun Zhang, Zhanqi Cui, Qing Gu, Xiaolin Ju:
DP-Share: Privacy-Preserving Software Defect Prediction Model Sharing Through Differential Privacy. J. Comput. Sci. Technol. 34(5): 1020-1038 (2019) - 2018
- [c7]Dun Zhang, Xiang Chen, Zhanqi Cui, Xiaolin Ju:
Software Defect Prediction Model Sharing Under Differential Privacy. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1547-1554 - 2017
- [j5]Xingya Wang, Shujuan Jiang, Pengfei Gao, Xiaolin Ju, Rongcun Wang, Yanmei Zhang:
Cost-effective testing based fault localization with distance based test-suite reduction. Sci. China Inf. Sci. 60(9): 092112:1-092112:15 (2017) - [c6]Xiang Chen, Yuxiang Shen, Zhanqi Cui, Xiaolin Ju:
Applying Feature Selection to Software Defect Prediction Using Multi-objective Optimization. COMPSAC (2) 2017: 54-59 - [c5]Xiaolin Ju, Xiang Chen, Yibiao Yang, Shujuan Jiang, Junyan Qian, Baowen Xu:
An In-Depth Study of the Efficiency of Risk Evaluation Formulas for Multi-Fault Localization. QRS Companion 2017: 304-310 - [c4]Xiaolin Ju, Xiang Chen, Shujuan Jiang, Junyan Qian:
An Interactive Debugging Framework with Heuristic Graph. SATE 2017: 45-52 - 2016
- [c3]Xingya Wang, Shujuan Jiang, Pengfei Gao, Xiaolin Ju, Rongcun Wang, Yanmei Zhang:
Distance-Based Test-Suite Reduction for Efficient Testing-Based Fault Localization. SATE 2016: 84-89 - 2015
- [j4]Yanmei Zhang, Shujuan Jiang, Guan Yuan, Xiaolin Ju, Hongchang Zhang:
An approach of class integration test order determination based on test levels. Softw. Pract. Exp. 45(5): 657-687 (2015) - [c2]Xingya Wang, Shujuan Jiang, Xiaolin Ju, Heling Cao, Yingqi Liu:
Mitigating the Dependence Confounding Effect for Effective Predicate-Based Statistical Fault Localization. COMPSAC 2015: 105-114 - 2014
- [j3]Heling Cao, Shujuan Jiang, Xiaolin Ju, Yanmei Zhang, Guan Yuan:
Applying Association Analysis to Dynamic Slicing Based Fault Localization. IEICE Trans. Inf. Syst. 97-D(8): 2057-2066 (2014) - [j2]Xiaolin Ju, Shujuan Jiang, Xiang Chen, Xingya Wang, Yanmei Zhang, Heling Cao:
HSFal: Effective fault localization using hybrid spectrum of full slices and execution slices. J. Syst. Softw. 90: 3-17 (2014) - [j1]Shujuan Jiang, Dandan Yi, Xiaolin Ju, Lingsai Wang, Yingqi Liu:
An approach for test data generation using program slicing and particle swarm optimization. Neural Comput. Appl. 25(7-8): 2047-2055 (2014) - 2013
- [c1]Yingqi Liu, Wei Li, Shujuan Jiang, Yanmei Zhang, Xiaolin Ju:
An Approach for Fault Localization Based on Program Slicing and Bayesian. QSIC 2013: 326-332
Coauthor Index
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