Xiaolin Ju

Orcid: 0000-0003-2579-5359

According to our database1, Xiaolin Ju authored at least 25 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bash comment generation via data augmentation and semantic-aware CodeBERT.
Autom. Softw. Eng., June, 2024

2023
GNet4FL: effective fault localization via graph convolutional neural network.
Autom. Softw. Eng., November, 2023

An Empirical Study of Adversarial Training in Code Comment Generation.
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.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study.
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.
Inf. Softw. Technol., 2022

SemirFL: Boosting Fault Localization via Combining Semantic Information and Information Retrieval.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Blocking Bugs Identification via Binary Relevance and Logistic Regression Analysis.
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.
IET Softw., 2021

AGFL: A Graph Convolutional Neural Network-Based Method for Fault Localization.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Improving Blocking Bug Pair Prediction via Hybrid Deep Learning.
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.
IEEE Access, 2020

2019
DP-Share: Privacy-Preserving Software Defect Prediction Model Sharing Through Differential Privacy.
J. Comput. Sci. Technol., 2019

2018
Software Defect Prediction Model Sharing Under Differential Privacy.
Proceedings of the 2018 IEEE SmartWorld, 2018

2017
Cost-effective testing based fault localization with distance based test-suite reduction.
Sci. China Inf. Sci., 2017

An Interactive Debugging Framework with Heuristic Graph.
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.
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

Applying Feature Selection to Software Defect Prediction Using Multi-objective Optimization.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016
Distance-Based Test-Suite Reduction for Efficient Testing-Based Fault Localization.
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.
Softw. Pract. Exp., 2015

Mitigating the Dependence Confounding Effect for Effective Predicate-Based Statistical Fault Localization.
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.
Neural Comput. Appl., 2014

HSFal: Effective fault localization using hybrid spectrum of full slices and execution slices.
J. Syst. Softw., 2014

Applying Association Analysis to Dynamic Slicing Based Fault Localization.
IEICE Trans. Inf. Syst., 2014

2013
An Approach for Fault Localization Based on Program Slicing and Bayesian.
Proceedings of the 2013 13th International Conference on Quality Software, 2013


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