Locating Minimal Fault Interaction in Combinatorial Testing. - Wei Zheng 006; Xiaoxue Wu 001; Desheng Hu; Qi-Hai Zhu (Adv. Softw. Eng., 2016)

Test Suite Minimization with Mutation Testing-Based Many-Objective Evolutionary Optimization. - Wei Zheng 006; Xiaoxue Wu 001; Xibing Yang; Shichao Cao; Wenxin Liu; Jun Lin (SATE, 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). - Wei Zheng 006; Chen Feng 005; Xiaoxue Wu 001; Yueming Huang; Jingyun Fang (计算机科学, 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). - Wei Zheng 006; Yueming Huang; Xiaoxue Wu 001; Chen Feng 005; Jun Lin (计算机科学, 2017)

Leaks or Not: A Framework for Evaluating Cache Timing Side Channel Attacks in SGX. - Ying Wu; Wei Zheng 006; Baolei Mao; Xiaoxue Wu 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

The Performance Evaluation Model of Intel SGX-Based Data Protection. - Wei Zheng 006; Shichao Cao; Zhiqian Gao; Xiaoxue Wu 001; Qian Ding (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

MS-guided many-objective evolutionary optimisation for test suite minimisation. - Wei Zheng 006; Xiaoxue Wu 001; Shichao Cao; Jun Lin (IET Softw., 2018)

UTCPredictor: An uncertainty-aware novel teaching cases predictor. - Xiaoxue Wu 001; Wei Zheng 006; Dejun Mu; Ning Li 022 (Comput. Appl. Eng. Educ., 2019)

Towards understanding bugs in an open source cloud management stack: An empirical study of OpenStack software bugs. - Wei Zheng 006; Chen Feng 005; Tingting Yu 001; Xibing Yang; Xiaoxue Wu 001 (J. Syst. Softw., 2019)

Improving the Security of Wireless Network Through Cross-project Security Issue Prediction. - Xiaoxue Wu 001; Weiqiang Fu; Dejun Mu; Deming Mao; Hui Zhang; Wei Zheng 006 (ICCC, 2020)

Literature survey of deep learning-based vulnerability analysis on source code. - Abubakar Omari Abdallah Semasaba; Wei Zheng 006; Xiaoxue Wu 001; Samuel Akwasi Agyemang (IET Softw., 2020)

CVE-assisted large-scale security bug report dataset construction method. - Xiaoxue Wu 001; Wei Zheng 006; Xiang Chen 005; Fang Wang; Dejun Mu (J. Syst. Softw., 2020)

The impact factors on the performance of machine learning-based vulnerability detection: A comparative study. - Wei Zheng 006; Jialiang Gao; Xiaoxue Wu 001; Fengyu Liu; Yuxing Xun; Guoliang Liu; Xiang Chen 005 (J. Syst. Softw., 2020)

Invalid bug reports complicate the software aging situation. - Xiaoxue Wu 001; Wei Zheng 006; Minchao Pu; Jie Chen; Dejun Mu (Softw. Qual. J., 2020)

A Domain Knowledge-Guided Lightweight Approach for Security Bug Reports Prediction. - Wei Zheng 006; Zheng Chen; Xiaoxue Wu 001; Weiqiang Fu; Bowen Sun; Jingyuan Cheng (DSA, 2021)

Automatically Identifying Bug Reports with Tactical Vulnerabilities by Deep Feature Learning. - Wei Zheng 006; Manqing Zhang; Hui Tang; Yuanfang Cai; Xiang Chen 005; Xiaoxue Wu 001; Abubakar Omari Abdallah Semasaba (ISSRE, 2021)

GrasP: Graph-to-Sequence Learning for Automated Program Repair. - Ben Tang; Bin Li 006; Lili Bo; Xiaoxue Wu 001; Sicong Cao; Xiaobing Sun 001 (QRS, 2021)

Representation vs. Model: What Matters Most for Source Code Vulnerability Detection. - Wei Zheng 006; Abubakar Omari Abdallah Semasaba; Xiaoxue Wu 001; Samuel Akwasi Agyemang; Tao Liu; Yuan Ge (SANER, 2021)

A survey of Intel SGX and its applications. - Wei Zheng 006; Ying Wu; Xiaoxue Wu 001; Chen Feng 005; Yulei Sui; Xiapu Luo; Yajin Zhou (Frontiers Comput. Sci., 2021)

Improving high-impact bug report prediction with combination of interactive machine learning and active learning. - Xiaoxue Wu 001; Wei Zheng 006; Xiang Chen 005; Yu Zhao 010; Tingting Yu 001; Dejun Mu (Inf. Softw. Technol., 2021)

A Comparative Study of Class Rebalancing Methods for Security Bug Report Classification. - Wei Zheng 006; Yuxing Xun; Xiaoxue Wu 001; Zhi Deng; Xiang Chen 005; Yulei Sui (IEEE Trans. Reliab., 2021)

A Comprehensive Analysis of NVD Concurrency Vulnerabilities. - Lili Bo; Xing Meng; Xiaobing Sun 001; Jingli Xia; Xiaoxue Wu 001 (QRS, 2022)

SPVF: security property assisted vulnerability fixing via attention-based models. - Zhou Zhou; Lili Bo; Xiaoxue Wu 001; Xiaobing Sun 001; Tao Zhang 001; Bin Li 006; Jiale Zhang 001; Sicong Cao (Empir. Softw. Eng., 2022)

An approach of method-level bug localization. - Zhen Ni; Lili Bo; Bin Li 006; Tianhao Chen; Xiaobing Sun 001; Xiaoxue Wu 001 (IET Softw., 2022)

Domain knowledge-based security bug reports prediction. - Wei Zheng 006; Jingyuan Cheng; Xiaoxue Wu 001; Ruiyang Sun; Xiaolong Wang; Xiaobing Sun 001 (Knowl. Based Syst., 2022)

ReCDroid+: Automated End-to-End Crash Reproduction from Bug Reports for Android Apps. - Yu Zhao 010; Ting Su 001; Yang Liu 003; Wei Zheng 006; Xiaoxue Wu 001; Ramakanth Kavuluru; William G. J. Halfond; Tingting Yu 001 (ACM Trans. Softw. Eng. Methodol., 2022)

Data Quality Matters: A Case Study on Data Label Correctness for Security Bug Report Prediction. - Xiaoxue Wu 001; Wei Zheng 006; Xin Xia 001; David Lo 001 (IEEE Trans. Software Eng., 2022)

An Intelligent Duplicate Bug Report Detection Method Based on Technical Term Extraction. - Xiaoxue Wu 001; Wenjing Shan; Wei Zheng 006; Zhiguo Chen; Tao Ren; Xiaobing Sun 001 (AST, 2023)

Improving Java Deserialization Gadget Chain Mining via Overriding-Guided Object Generation. - Sicong Cao; Xiaobing Sun 001; Xiaoxue Wu 001; Lili Bo; Bin Li 006; Rongxin Wu; Wei Liu 010; Biao He; Yu Ouyang; Jiajia Li (ICSE, 2023)

ODDFuzz: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing. - Sicong Cao; Biao He; Xiaobing Sun 001; Yu Ouyang; Chao Zhang 008; Xiaoxue Wu 001; Ting Su 001; Lili Bo; Bin Li 006; Chuanlei Ma; Jiajia Li; Tao Wei 002 (SP, 2023)

VulLoc: vulnerability localization based on inducing commits and fixing commits. - Lili Bo; Yue Li; Xiaobing Sun 001; Xiaoxue Wu 001; Bin Li 006 (Frontiers Comput. Sci., 2023)

An Abstract Syntax Tree based static fuzzing mutation for vulnerability evolution analysis. - Wei Zheng 006; Peiran Deng; Kui Gui; Xiaoxue Wu 001 (Inf. Softw. Technol., 2023)

Automatic software vulnerability assessment by extracting vulnerability elements. - Xiaobing Sun 001; Zhenlei Ye; Lili Bo; Xiaoxue Wu 001; Ying Wei 012; Tao Zhang 001; Bin Li 006 (J. Syst. Softw., 2023)

RNNtcs: A test case selection method for Recurrent Neural Networks. - Xiaoxue Wu 001; Jinjin Shen; Wei Zheng 006; Lidan Lin; Yulei Sui; Abubakar Omari Abdallah Semasaba (Knowl. Based Syst., 2023)

An empirical evaluation of deep learning-based source code vulnerability detection: Representation versus models. - Abubakar Omari Abdallah Semasaba; Wei Zheng 006; Xiaoxue Wu 001; Samuel Akwasi Agyemang; Tao Liu; Yuan Ge (J. Softw. Evol. Process., 2023)

Automated software bug localization enabled by meta-heuristic-based convolutional neural network and improved deep neural network. - Waqas Ali; Lili Bo; Xiaobing Sun 001; Xiaoxue Wu 001; Saifullah Memon; Saima Siraj; Ann Suwaree Ashton (Expert Syst. Appl., 2023)

Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems. - Sicong Cao; Xiaobing Sun 001; Xiaoxue Wu 001; David Lo 001; Lili Bo; Bin Li 006; Wei Liu 010 (ICSE, 2024)

1+1>2: Integrating Deep Code Behaviors with Metadata Features for Malicious PyPI Package Detection. - Xiaobing Sun 001; Xingan Gao; Sicong Cao; Lili Bo; Xiaoxue Wu 001; Kaifeng Huang 001 (ASE, 2024)

ChatBR: Automated assessment and improvement of bug report quality using ChatGPT. - Lili Bo; Wangjie Ji; Xiaobing Sun 001; Ting Zhang 011; Xiaoxue Wu 001; Ying Wei 012 (ASE, 2024)

Snopy: Bridging Sample Denoising with Causal Graph Learning for Effective Vulnerability Detection. - Sicong Cao; Xiaobing Sun 001; Xiaoxue Wu 001; David Lo 001; Lili Bo; Bin Li 006; Xiaolei Liu 001; Xingwei Lin; Wei Liu 010 (ASE, 2024)

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research. - Sicong Cao; Xiaobing Sun 001; Ratnadira Widyasari; David Lo 001; Xiaoxue Wu 001; Lili Bo; Jiale Zhang 001; Bin Li 006; Wei Liu 010; Di Wu 050; Yixin Chen 001 (CoRR, 2024)

Duplicate Bug Report detection using Named Entity Recognition. - Wei Zheng 006; Yunfan Li; Xiaoxue Wu 001; Jingyuan Cheng (Knowl. Based Syst., 2024)

ISTA+: Test case generation and optimization for intelligent systems based on coverage analysis. - Xiaoxue Wu 001; Yizeng Gu; Lidan Lin; Wei Zheng 006; Xiang Chen 005 (Sci. Comput. Program., 2024)

Learning to Detect Memory-related Vulnerabilities. - Sicong Cao; Xiaobing Sun 001; Lili Bo; Rongxin Wu; Bin Li 006; Xiaoxue Wu 001; Chuanqi Tao; Tao Zhang 001; Wei Liu 010 (ACM Trans. Softw. Eng. Methodol., 2024)

An Empirical Study on Correlations Between Deep Neural Network Fairness and Neuron Coverage Criteria. - Wei Zheng 006; Lidan Lin; Xiaoxue Wu 001; Xiang Chen 005 (IEEE Trans. Software Eng., 2024)

Software bug localization based on optimized and ensembled deep learning models. - Waqas Ali; Lili Bo; Xiaobing Sun 001; Xiaoxue Wu 001; Aakash Ali; Ying Wei 012 (J. Softw. Evol. Process., 2024)

Hierarchy-Aware Representation Learning for Industrial IoT Vulnerability Classification. - Sicong Cao; Xiaobing Sun 001; Xinye Yang; Xiaoxue Wu 001; Wei Liu 010; Bin Li 006 (IEEE Trans. Ind. Informatics, 2024)

Enhancing concurrency vulnerability detection through AST-based static fuzz mutation. - Wei Zheng 006; Chang Liu; Peiran Deng; Xiang Chen 005; Xiaoxue Wu 001 (J. Syst. Softw., 2025)

NG_MDERANK: A software vulnerability feature knowledge extraction method based on N-gram similarity. - Xiaoxue Wu 001; Shiyu Weng; Bin Zheng; Wei Zheng 006; Xiang Chen 005; Xiaobing Sun 001 (J. Softw. Evol. Process., 2025)