Yong Liu

Orcid: 0000-0003-1754-3039

Affiliations:
  • University of Chemical Technology, College of Information Science and Technology, Beijing, China


According to our database1, Yong Liu authored at least 40 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
DTester: Diversity-Driven Test Case Generation for Web Applications.
Int. J. Softw. Eng. Knowl. Eng., February, 2024

2023
VsusFL: Variable-suspiciousness-based Fault Localization for novice programs.
J. Syst. Softw., November, 2023

Applying Coding Behavior Features to Student Plagiarism Detection on Programming Assignments.
J. Circuits Syst. Comput., November, 2023

CRMF: A fault localization approach based on class reduction and method call frequency.
Softw. Pract. Exp., April, 2023

SeTransformer: A Transformer-Based Code Semantic Parser for Code Comment Generation.
IEEE Trans. Reliab., March, 2023

A Token-based Compilation Error Categorization and Its Applications.
J. Softw. Evol. Process., February, 2023

ConDefects: A New Dataset to Address the Data Leakage Concern for LLM-based Fault Localization and Program Repair.
CoRR, 2023

Large Language Models in Fault Localisation.
CoRR, 2023

Extended Abstract of SeCNN: A semantic CNN parser for code comment generation.
Proceedings of the IEEE International Conference on Software Analysis, 2023

OrdinalFix: Fixing Compilation Errors via Shortest-Path CFL Reachability.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

GMBFL: Optimizing Mutation-Based Fault Localization via Graph Representation.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Identifying Coincidental Correct Test Cases with Multiple Features Extraction for Fault Localization.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

SGS: Mutant Reduction for Higher-order Mutation-based Fault Localization.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Improving Fault Localization by Complex-Fault Oriented Higher-Order Mutant Generation.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
Theoretical Analysis and Empirical Study on the Impact of Coincidental Correct Test Cases in Multiple Fault Localization.
IEEE Trans. Reliab., 2022

Can Higher-Order Mutants Improve the Performance of Mutation-Based Fault Localization?
IEEE Trans. Reliab., 2022

An Empirical Study on Higher-Order Mutation-Based Fault Localization.
Int. J. Softw. Eng. Knowl. Eng., 2022

Improving the Performance of Mutation-based Fault Localization via Mutant Bias Practical Experience Report.
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

2021
SeCNN: A semantic CNN parser for code comment generation.
J. Syst. Softw., 2021

A Passed Test Case Cluster Method to Improve Fault Localization.
J. Circuits Syst. Comput., 2021

VSBFL: Variable Value Sequence Based Fault Localization for Novice Programs.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Data-driven based student programming competition award prediction via machine learning models.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Applying Faulty Statement Category Frequency to Localize Faults for Student Programs.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Automated Student Code Scoring by Analyzing Grammatical and Semantic Information of Code.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Fault Localization-Guided Test Data Generation Approach for Novice Programs.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

HMBFL: Higher-Order Mutation-Based Fault Localization.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

Weighted Reward for Reinforcement Learning based Test Case Prioritization in Continuous Integration Testing.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

CLACER: A Deep Learning-based Compilation Error Classification Method for Novice Students' Programs.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020
HMER: A Hybrid Mutation Execution Reduction approach for Mutation-based Fault Localization.
J. Syst. Softw., 2020

FATOC: Bug Isolation Based Multi-Fault Localization by Using OPTICS Clustering.
J. Comput. Sci. Technol., 2020

IETCR: An Information Entropy Based Test Case Reduction Strategy for Mutation-Based Fault Localization.
IEEE Access, 2020

Using Fine-Grained Test Cases for Improving Novice Program Fault Localization.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

IRBFL: An Information Retrieval Based Fault Localization Approach.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019
A weighted fuzzy classification approach to identify and manipulate coincidental correct test cases for fault localization.
J. Syst. Softw., 2019

An Empirical Study of Bug Isolation on the Effectiveness of Multiple Fault Localization.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019

2018
An optimal mutation execution strategy for cost reduction of mutation-based fault localization.
Inf. Sci., 2018

2017
Statement-Oriented Mutant Reduction Strategy for Mutation Based Fault Localization.
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

Fault Classification Oriented Spectrum Based Fault Localization.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016
Test Data Generation Efficiency Prediction Model for EFSM Based on MGGP.
Proceedings of the Search Based Software Engineering - 8th International Symposium, 2016

Identify Coincidental Correct Test Cases Based on Fuzzy Classification.
Proceedings of the International Conference on Software Analysis, Testing and Evolution, 2016


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