An Approach for Fault Localization Based on Program Slicing and Bayesian. - Yingqi Liu; Wei Li; Shujuan Jiang; Yanmei Zhang; Xiaolin Ju (QSIC, 2013)

Applying Association Analysis to Dynamic Slicing Based Fault Localization. - Heling Cao; Shujuan Jiang; Xiaolin Ju; Yanmei Zhang; Guan Yuan (IEICE Trans. Inf. Syst., 2014)

HSFal: Effective fault localization using hybrid spectrum of full slices and execution slices. - Xiaolin Ju; Shujuan Jiang; Xiang Chen 005; Xingya Wang; Yanmei Zhang; Heling Cao (J. Syst. Softw., 2014)

An approach for test data generation using program slicing and particle swarm optimization. - Shujuan Jiang; Dandan Yi; Xiaolin Ju; Lingsai Wang; Yingqi Liu (Neural Comput. Appl., 2014)

Mitigating the Dependence Confounding Effect for Effective Predicate-Based Statistical Fault Localization. - Xingya Wang; Shujuan Jiang; Xiaolin Ju; Heling Cao; Yingqi Liu (COMPSAC, 2015)

An approach of class integration test order determination based on test levels. - Yanmei Zhang; Shujuan Jiang; Guan Yuan; Xiaolin Ju; Hongchang Zhang (Softw. Pract. Exp., 2015)

Distance-Based Test-Suite Reduction for Efficient Testing-Based Fault Localization. - Xingya Wang; Shujuan Jiang; Pengfei Gao; Xiaolin Ju; Rongcun Wang; Yanmei Zhang (SATE, 2016)

Applying Feature Selection to Software Defect Prediction Using Multi-objective Optimization. - Xiang Chen 005; Yuxiang Shen; Zhanqi Cui; Xiaolin Ju (COMPSAC (2), 2017)

An In-Depth Study of the Efficiency of Risk Evaluation Formulas for Multi-Fault Localization. - Xiaolin Ju; Xiang Chen 005; Yibiao Yang; Shujuan Jiang; Junyan Qian; Baowen Xu (QRS Companion, 2017)

An Interactive Debugging Framework with Heuristic Graph. - Xiaolin Ju; Xiang Chen 005; Shujuan Jiang; Junyan Qian (SATE, 2017)

Cost-effective testing based fault localization with distance based test-suite reduction. - Xingya Wang; Shujuan Jiang; Pengfei Gao; Xiaolin Ju; Rongcun Wang; Yanmei Zhang (Sci. China Inf. Sci., 2017)

Software Defect Prediction Model Sharing Under Differential Privacy. - Dun Zhang; Xiang Chen 005; Zhanqi Cui; Xiaolin Ju (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

DP-Share: Privacy-Preserving Software Defect Prediction Model Sharing Through Differential Privacy. - Xiang Chen 005; Dun Zhang; Zhanqi Cui; Qing Gu 001; Xiaolin Ju (J. Comput. Sci. Technol., 2019)

Mulr4FL: Effective Fault Localization of Evolution Software Based on Multivariate Logistic Regression Model. - Xiaolin Ju; Jie Qian; Zhihua Chen; Chunyu Zhao; Junyan Qian (IEEE Access, 2020)

Improving Blocking Bug Pair Prediction via Hybrid Deep Learning. - Zhihua Chen; Xiaolin Ju; Yiheng Shen 002; Xiang Chen 005 (QRS Companion, 2021)

AGFL: A Graph Convolutional Neural Network-Based Method for Fault Localization. - Jie Qian; Xiaolin Ju; Xiang Chen 005; Hao Shen 011; Yiheng Shen 002 (QRS, 2021)

Empirical studies on the impact of filter-based ranking feature selection on security vulnerability prediction. - Xiang Chen 005; Zhidan Yuan; Zhanqi Cui; Dun Zhang; Xiaolin Ju (IET Softw., 2021)

Blocking Bugs Identification via Binary Relevance and Logistic Regression Analysis. - Zhihua Chen; Xiaolin Ju; Guilong Lu; Xiang Chen 005 (DSA, 2022)

SemirFL: Boosting Fault Localization via Combining Semantic Information and Information Retrieval. - Xiangyu Shi; Xiaolin Ju; Xiang Chen 005; Guilong Lu; Mengqi Xu (QRS Companion, 2022)

Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study. - Chunyu Zhao; Yanzhou Mu; Xiang Chen 005; Jingke Zhao; Xiaolin Ju; Gan Wang (Inf. Softw. Technol., 2022)

Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study. - Guilong Lu; Xiaolin Ju; Xiang Chen 005; Shaoyu Yang 002; Liang Chen; Hao Shen 011 (APSEC, 2023)

EDP-BGCNN: Effective Defect Prediction via BERT-based Graph Convolutional Neural Network. - Hao Shen 011; Xiaolin Ju; Xiang Chen 005; Guang Yang 019 (COMPSAC, 2023)

An Empirical Study of Adversarial Training in Code Comment Generation. - Yiheng Shen 002; Xiaolin Ju; Xiang Chen 005; Guang Yang 019 (SEKE, 2023)

GNet4FL: effective fault localization via graph convolutional neural network. - Jie Qian; Xiaolin Ju; Xiang Chen 005 (Autom. Softw. Eng., 2023)

Ada4DP: Adversarial Enhanced Dual-Attentive Aggregation Learning for Defect Prediction. - Yucheng Zhang; Chenqiang Shen; Xiaolin Ju; Hao Shen 011; Xiang Chen 005 (QRS Companion, 2024)

GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning. - Guilong Lu; Xiaolin Ju; Xiang Chen 005; Wenlong Pei; Zhilong Cai (J. Syst. Softw., 2024)

Bash comment generation via data augmentation and semantic-aware CodeBERT. - Yiheng Shen 002; Xiaolin Ju; Xiang Chen 005; Guang Yang 019 (Autom. Softw. Eng., 2024)

ProRLearn: boosting prompt tuning-based vulnerability detection by reinforcement learning. - Zilong Ren; Xiaolin Ju; Xiang Chen 005; Hao Shen 011 (Autom. Softw. Eng., 2024)

Enhancing long-tailed software vulnerability type classification via adaptive data augmentation and prompt tuning. - Long Zhang; Xiaolin Ju; Lina Gong; Jiyu Wang; Zilong Ren (Appl. Soft Comput., 2025)

HGAN4VD: Leveraging Heterogeneous Graph Attention Networks for enhanced Vulnerability Detection. - Yucheng Zhang; Xiaolin Ju; Xiang Chen 005; Misbahul Amin; Zilong Ren (Comput. Secur., 2025)

JIT-CF: Integrating contrastive learning with feature fusion for enhanced just-in-time defect prediction. - Xiaolin Ju; Yi Cao; Xiang Chen 005; Lina Gong; Vaskar Chakma; Xin Zhou 014 (Inf. Softw. Technol., 2025)

FedMVA: Enhancing software vulnerability assessment via federated multimodal learning. - Qingyun Liu 014; Xiaolin Ju; Xiang Chen 005; Lina Gong (J. Syst. Softw., 2025)

Improving distributed learning-based vulnerability detection via multi-modal prompt tuning. - Zilong Ren; Xiaolin Ju; Xiang Chen 005; Yubin Qu (J. Syst. Softw., 2025)

An Empirical Study of OpenAI API Discussions on Stack Overflow. - Xiang Chen 005; Jibin Wang; Chaoyang Gao; Xiaolin Ju; Zhanqi Cui (CoRR, 2025)

A Systematic Literature Review on Neural Code Translation. - Xiang Chen 005; Jiacheng Xue; Xiaofei Xie; Caokai Liang; Xiaolin Ju (CoRR, 2025)

Evaluating and Improving Large Language Models for Competitive Program Generation. - Minnan Wei; Ziming Li; Xiang Chen 005; Menglin Zheng; Ziyan Qu; Cheng Yu; Siyu Chen; Xiaolin Ju (CoRR, 2025)

Improving vulnerability type prediction and line-level detection via adversarial training-based data augmentation and multi-task learning. - Siyu Chen; Jiongyi Yang; Xiang Chen 005; Menglin Zheng; Minnan Wei; Xiaolin Ju (CoRR, 2025)

MCL-VD: Multi-modal contrastive learning with LoRA-enhanced GraphCodeBERT for effective vulnerability detection. - Yi Cao; Xiaolin Ju; Xiang Chen 005; Lina Gong (Autom. Softw. Eng., 2025)