Xiaolin Ju

According to our database, Xiaolin Ju authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

ProRLearn: boosting prompt tuning-based vulnerability detection by reinforcement learning.

Zilong Ren, Xiaolin Ju, Xiang Chen, Hao Shen

Autom. Softw. Eng., November, 2024

Bash comment generation via data augmentation and semantic-aware CodeBERT.

Yiheng Shen, Xiaolin Ju, Xiang Chen, Guang Yang

Autom. Softw. Eng., June, 2024

GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning.

Guilong Lu, Xiaolin Ju, Xiang Chen, Wenlong Pei, Zhilong Cai

J. Syst. Softw., 2024

Ada4DP: Adversarial Enhanced Dual-Attentive Aggregation Learning for Defect Prediction.

Yucheng Zhang, Chenqiang Shen, Xiaolin Ju, Hao Shen, Xiang Chen

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

2023

GNet4FL: effective fault localization via graph convolutional neural network.

Jie Qian, Xiaolin Ju, Xiang Chen

Autom. Softw. Eng., November, 2023

An Empirical Study of Adversarial Training in Code Comment Generation.

Yiheng Shen, Xiaolin Ju, Xiang Chen, Guang Yang

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

EDP-BGCNN: Effective Defect Prediction via BERT-based Graph Convolutional Neural Network.

Hao Shen, Xiaolin Ju, Xiang Chen, Guang Yang

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study.

Guilong Lu, Xiaolin Ju, Xiang Chen, Shaoyu Yang, Liang Chen, Hao Shen

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022

Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study.

Chunyu Zhao, Yanzhou Mu, Xiang Chen, Jingke Zhao, Xiaolin Ju, Gan Wang

Inf. Softw. Technol., 2022

SemirFL: Boosting Fault Localization via Combining Semantic Information and Information Retrieval.

Xiangyu Shi, Xiaolin Ju, Xiang Chen, Guilong Lu, Mengqi Xu

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Blocking Bugs Identification via Binary Relevance and Logistic Regression Analysis.

Zhihua Chen, Xiaolin Ju, Guilong Lu, Xiang Chen

Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

2021

Empirical studies on the impact of filter-based ranking feature selection on security vulnerability prediction.

Xiang Chen, Zhidan Yuan, Zhanqi Cui, Dun Zhang, Xiaolin Ju

IET Softw., 2021

AGFL: A Graph Convolutional Neural Network-Based Method for Fault Localization.

Jie Qian, Xiaolin Ju, Xiang Chen, Hao Shen, Yiheng Shen

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Improving Blocking Bug Pair Prediction via Hybrid Deep Learning.

Zhihua Chen, Xiaolin Ju, Yiheng Shen, Xiang Chen

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2020

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

2019

DP-Share: Privacy-Preserving Software Defect Prediction Model Sharing Through Differential Privacy.

Xiang Chen, Dun Zhang, Zhanqi Cui, Qing Gu, Xiaolin Ju

J. Comput. Sci. Technol., 2019

2018

Software Defect Prediction Model Sharing Under Differential Privacy.

Dun Zhang, Xiang Chen, Zhanqi Cui, Xiaolin Ju

Proceedings of the 2018 IEEE SmartWorld, 2018

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

An Interactive Debugging Framework with Heuristic Graph.

Xiaolin Ju, Xiang Chen, Shujuan Jiang, Junyan Qian

Proceedings of the 2017 International Conference on Software Analysis, 2017

An In-Depth Study of the Efficiency of Risk Evaluation Formulas for Multi-Fault Localization.

Xiaolin Ju, Xiang Chen, Yibiao Yang, Shujuan Jiang, Junyan Qian, Baowen Xu

Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

Applying Feature Selection to Software Defect Prediction Using Multi-objective Optimization.

Xiang Chen, Yuxiang Shen, Zhanqi Cui, Xiaolin Ju

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016

Distance-Based Test-Suite Reduction for Efficient Testing-Based Fault Localization.

Xingya Wang, Shujuan Jiang, Pengfei Gao, Xiaolin Ju, Rongcun Wang, Yanmei Zhang

Proceedings of the International Conference on Software Analysis, Testing and Evolution, 2016

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

Mitigating the Dependence Confounding Effect for Effective Predicate-Based Statistical Fault Localization.

Xingya Wang, Shujuan Jiang, Xiaolin Ju, Heling Cao, Yingqi Liu

Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

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

HSFal: Effective fault localization using hybrid spectrum of full slices and execution slices.

Xiaolin Ju, Shujuan Jiang, Xiang Chen, Xingya Wang, Yanmei Zhang, Heling Cao

J. Syst. Softw., 2014

Applying Association Analysis to Dynamic Slicing Based Fault Localization.

Heling Cao, Shujuan Jiang, Xiaolin Ju, Yanmei Zhang, Guan Yuan

IEICE Trans. Inf. Syst., 2014

2013

An Approach for Fault Localization Based on Program Slicing and Bayesian.

Yingqi Liu, Wei Li, Shujuan Jiang, Yanmei Zhang, Xiaolin Ju

Proceedings of the 2013 13th International Conference on Quality Software, 2013