Xiaoxue Wu
Orcid: 0009-0009-5432-651XAffiliations:
- Yangzhou University, School of Information Engineering, Yangzhou, China
- Northwestern Polytechnical University, School of Cyberspace Security, Xi'an, China (PhD 2021)
According to our database1,
Xiaoxue Wu
authored at least 47 papers
between 2016 and 2024.
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Bibliography
2024
Hierarchy-Aware Representation Learning for Industrial IoT Vulnerability Classification.
IEEE Trans. Ind. Informatics, October, 2024
J. Softw. Evol. Process., August, 2024
An Empirical Study on Correlations Between Deep Neural Network Fairness and Neuron Coverage Criteria.
IEEE Trans. Software Eng., March, 2024
ACM Trans. Softw. Eng. Methodol., February, 2024
ISTA+: Test case generation and optimization for intelligent systems based on coverage analysis.
Sci. Comput. Program., 2024
Knowl. Based Syst., 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research.
CoRR, 2024
Snopy: Bridging Sample Denoising with Causal Graph Learning for Effective Vulnerability Detection.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024
1+1>2: Integrating Deep Code Behaviors with Metadata Features for Malicious PyPI Package Detection.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
2023
Automated software bug localization enabled by meta-heuristic-based convolutional neural network and improved deep neural network.
Expert Syst. Appl., December, 2023
An empirical evaluation of deep learning-based source code vulnerability detection: Representation versus models.
J. Softw. Evol. Process., November, 2023
Knowl. Based Syst., November, 2023
J. Syst. Softw., October, 2023
An Abstract Syntax Tree based static fuzzing mutation for vulnerability evolution analysis.
Inf. Softw. Technol., June, 2023
Frontiers Comput. Sci., 2023
ODDFuzz: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023
Improving Java Deserialization Gadget Chain Mining via Overriding-Guided Object Generation.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
An Intelligent Duplicate Bug Report Detection Method Based on Technical Term Extraction.
Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2023
2022
Data Quality Matters: A Case Study on Data Label Correctness for Security Bug Report Prediction.
IEEE Trans. Software Eng., 2022
ReCDroid+: Automated End-to-End Crash Reproduction from Bug Reports for Android Apps.
ACM Trans. Softw. Eng. Methodol., 2022
Empir. Softw. Eng., 2022
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022
2021
A Comparative Study of Class Rebalancing Methods for Security Bug Report Classification.
IEEE Trans. Reliab., 2021
Improving high-impact bug report prediction with combination of interactive machine learning and active learning.
Inf. Softw. Technol., 2021
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021
Proceedings of the 21st IEEE International Conference on Software Quality, 2021
Automatically Identifying Bug Reports with Tactical Vulnerabilities by Deep Feature Learning.
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021
2020
The impact factors on the performance of machine learning-based vulnerability detection: A comparative study.
J. Syst. Softw., 2020
J. Syst. Softw., 2020
IET Softw., 2020
Improving the Security of Wireless Network Through Cross-project Security Issue Prediction.
Proceedings of the 9th IEEE/CIC International Conference on Communications in China, 2020
2019
Towards understanding bugs in an open source cloud management stack: An empirical study of OpenStack software bugs.
J. Syst. Softw., 2019
Comput. Appl. Eng. Educ., 2019
2018
IET Softw., 2018
Proceedings of the 2018 IEEE SmartWorld, 2018
Proceedings of the 2018 IEEE SmartWorld, 2018
2017
基于本体的并发错误测试工具推荐方法研究 (Research on Recommendation of Concurrency Bug Testing Tools Based on Ontology).
计算机科学, 2017
运用变异测试的并行程序测试用例最小化算法 (Mutation Test Based Test Case Minimization for Concurrent Program).
计算机科学, 2017
Test Suite Minimization with Mutation Testing-Based Many-Objective Evolutionary Optimization.
Proceedings of the 2017 International Conference on Software Analysis, 2017
2016