Influence of the Distance Calculation Error on the Performance of Adaptive Random Testing. - Yuanchao Qi; Ziyuan Wang; Yongming Yao (QRS Companion, 2017)

Design and Implementation of Combinatorial Testing Tools. - Yongming Yao; Yiyang Yan; Ziyuan Wang; Chen Liu (QRS Companion, 2017)

Behavior Pattern-Driven Test Case Selection for Deep Neural Networks. - Yanshan Chen; Ziyuan Wang 001; Dong Wang 004; Yongming Yao; Zhenyu Chen 001 (AITest, 2019)

A Logic Pattern of Agents with Emotional Attitudes. - Chen Liu; Zhiyi Zhang 004; Yongming Yao; Yonghua Xu (DSA, 2019)

Runtime-Environment Testing Method for Android Applications. - Song Huang; Sen Yang; Zhanwei Hui; Yongming Yao; Lele Chen; Jialuo Liu; Qiang Chen (QRS Companion, 2019)

Nowhere to Hide Methodology: Application of Clustering Fault Diagnosis in the Nuclear Power Industry. - Cheng Zong; Song Huang; Erhu Liu; Yongming Yao; Shi-Qi Tang (IEEE Access, 2019)

Multiobjective Optimal Predictive Energy Management for Fuel Cell/Battery Hybrid Construction Vehicles. - Tianyu Li; Huiying Liu; Hui Wang 047; Yongming Yao (IEEE Access, 2020)

Research of Post Injection Strategy of an EGR Diesel Engine to Improve Combustion and Particulate Emissions Performance: Application on the Transient Operation. - Shuang Feng; Wei Hong; Yongming Yao; Tian You (Symmetry, 2020)

A Novel Comprehensive Kinematic and Inverse Dynamic Model for the Flybar-Less Swashplate Mechanism: Application on a Small-Scale Unmanned Helicopter. - Jianbo Liu; Rongqiang Guan; Yongming Yao; Hui Wang 047; Linqiang Hu (Symmetry, 2020)

Privacy Protocol Analysis based on Android Application. - Yongming Yao; Yulin Wang; Weiyi Jiang; Ziyuan Wang; Song Huang (DSA, 2021)

Android privacy protocol and permission consistency testing. - Yongming Yao; Zhongju Yang; Ruizhi Qi; Chen Liu (QRS Companion, 2021)

A Study on Testers' Learning Curve in Crowdsourced Software Testing. - Yongming Yao; Song Huang; Cheng Zong; Erhu Liu; Ning Chen (IEEE Access, 2021)

A Comparison of Fault Detection Efficiency Between Adaptive Random Testing and Greedy Combinatorial Testing for Control Logics in Nuclear Industrial Distributed Control Systems. - Cheng Zong; Yanliang Zhang; Yongming Yao; Shiyong Shuang; Ziyuan Wang (IEEE Access, 2021)

MTGAN: Extending Test Case set for Deep Learning Image Classifier. - Erhu Liu; Song Huang; Cheng Zong; Changyou Zheng; Yongming Yao; Jing Zhu; Shiqi Tang; Yanqiu Wang (IEICE Trans. Inf. Syst., 2021)

Distributed Adaptive Formation Tracking Control under Fixed and Switching Topologies: Application on General Linear Multi-Agent Systems. - Tianhao Sun; Huiying Liu; Yongming Yao; Tianyu Li; Zhibo Cheng (Symmetry, 2021)

Solid Particle Erosion Area of Rotor Blades: Application on Small-Size Unmanned Helicopters. - Yongming Yao; Xupeng Bai; Huiying Liu; Tianyu Li; Jianbo Liu; Guangli Zhou (Symmetry, 2021)

Non-Functional Requirements Analysis Based on Application Reviews in the Android App Market. - Yongming Yao; Weiyi Jiang; Yulin Wang; Peng Song; Bin Wang (Inf. Resour. Manag. J., 2022)

A Fine-Grained Evaluation of Mutation Operators for Deep Learning Systems: A Selective Mutation Approach. - Yichun Wang; Zhiyi Zhang 004; Yongming Yao; Zhiqiu Huang (Internetware, 2023)

Test Generation for Mutation Testing by Symbolic Execution. - Rui Su; Zhiyi Zhang 004; Yuqian Zhou; Yongming Yao (QRS Companion, 2023)

Generating Autonomous Driving Safety Violation Scenarios Based on Multi-Objective Optimization. - Chunyan Xia; Song Huang; Yongming Yao; Changyou Zheng; Yutong Wang (QRS Companion, 2023)

EATS: Efficient Adaptive Test Case Selection for Deep Neural Networks. - Huanze Meng; Zhiyi Zhang 004; Yuchen Ding; Shuxian Chen; Yongming Yao (QRS, 2024)

Detection of backdoor attacks using targeted universal adversarial perturbations for deep neural networks. - Yubin Qu; Song Huang; Xiang Chen 005; Xingya Wang; Yongming Yao (J. Syst. Softw., 2024)

False negative of defects estimation in crowdsourced testing. - Kaishun Wu; Yaqing Shi; Jing Zhu; Yongming Yao; Shiqi Tang (J. Softw. Evol. Process., 2024)

MetaSem: metamorphic testing based on semantic information of autonomous driving scenes. - Zhen Yang 025; Song Huang; Tongtong Bai; Yongming Yao; Yang Wang 111; Changyou Zheng; Chunyan Xia (Softw. Test. Verification Reliab., 2024)

A survey on robustness attacks for deep code models. - Yubin Qu; Song Huang; Yongming Yao (Autom. Softw. Eng., 2024)

An input-denoising-based defense against stealthy backdoor attacks in large language models for code. - Yubin Qu; Song Huang; Xiang Chen 005; Tongtong Bai; Yongming Yao (Inf. Softw. Technol., 2025)

Efficient adaptive test case selection for DNNs robustness enhancement. - Zhiyi Zhang 004; Huanze Meng; Yuchen Ding; Shuxian Chen; Yongming Yao (J. Syst. Softw., 2025)

BadCodePrompt: backdoor attacks against prompt engineering of large language models for code generation. - Yubin Qu; Song Huang; Yanzhou Li; Tongtong Bai; Xiang Chen; Xingya Wang; Long Li; Yongming Yao (Autom. Softw. Eng., 2025)

A fine-grained evaluation of mutation operators to boost mutation testing for deep learning systems. - Zhi-Yi Zhang 004; Yichun Wang; Yongming Yao; Ziyuan Wang 001; Zhiqiu Huang (Empir. Softw. Eng., 2025)