Xiang Chen

230 papers A* 7A 11B 12C 16Misc 3Journal 153Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
CSVD-AES: Cross-project software vulnerability detection based on active learning with metric fusion.
Inf. Softw. Technol.
Zhidan Yuan, Xiang Chen, Juan Zhang, Weiming Zeng
2026 J jnl
Deep Learning Framework Testing via Model Mutation: How Far Are We?
IEEE Trans. Software Eng.
Yanzhou Mu, Rong Wang, Juan Zhai, Chunrong Fang, Xiang Chen, Peiran Yang, Zhixiang Cao, Ruixiang Qian, Shaoyu Yang, Zhenyu Chen
2026 J jnl
Defect prediction guided greybox fuzz testing.
J. Syst. Softw.
Haochen Jin, Zhanqi Cui, Ruichen Zhang, Xiang Chen, Rongcun Wang, Xiulei Liu
2026 J jnl
Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss.
ACM Trans. Softw. Eng. Methodol.
Guang Yang, Yu Zhou, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, David Lo, Taolue Chen
2026 J jnl
Detecting API compatibility issues of android applications based on screen transition graphs.
Empir. Softw. Eng.
Gaoyi Lin, Zhanqi Cui, Xiang Chen, Jingjing Chen, Yadong Zhang
2026 J jnl
Evaluating and improving LLM-based competitive program generation.
Inf. Softw. Technol.
Minnan Wei, Ziming Li, Xiang Chen, Menglin Zheng, Ziyan Qu, Cheng Yu, Siyu Chen, Xiaolin Ju
2026 J jnl
Exploring the potential and limitations of large language models for novice program fault localization.
J. Syst. Softw.
Hexiang Xu, Hengyuan Liu, Yonghao Wu, Xiaolan Kang, Xiang Chen, Yong Liu
2026 J jnl
GraMuS: Boosting statement-level fault localization via graph representation and multimodal information.
J. Syst. Softw.
Ruishi Huang, Binbin Yang, Shumei Wu, Zheng Li, Paul Doyle, Xiao-Yi Zhang, Xiang Chen, Yong Liu
2026 J jnl
Less Is More: DocString Compression in Code Generation.
ACM Trans. Softw. Eng. Methodol.
Guang Yang, Yu Zhou, Wei Cheng, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, Ke Liu, Xin Zhou, David Lo, Taolue Chen
2026 J jnl
Less is more: Towards green code large language models via unified structural pruning.
Inf. Process. Manag.
Guang Yang, Yu Zhou, Xiangyu Zhang, Wei Cheng, Ke Liu, Xiang Chen, Terry Yue Zhuo, Taolue Chen
2026 J jnl
ReVul-CoT: Towards effective software vulnerability assessment with retrieval-augmented generation and chain-of-thought prompting.
J. Syst. Softw.
Zhijie Chen, Xiang Chen, Ziming Li, Jiacheng Xue, Chaoyang Gao
2026 J jnl
Semantic Consensus Decoding: Backdoor Defense for Verilog Code Generation.
CoRR
Guang Yang, Xing Hu, Xiang Chen, Xin Xia
2025 J jnl
A Systematic Literature Review on Neural Code Translation.
CoRR
Xiang Chen, Jiacheng Xue, Xiaofei Xie, Caokai Liang, Xiaolin Ju
2025 A* conf
ACTaint: Agent-Based Taint Analysis for Access Control Vulnerabilities in Smart Contracts.
ASE
Huarui Lin, Zhipeng Gao, Jiachi Chen, Xiang Chen, Xiaohu Yang, Lingfeng Bao
2025 J jnl
Adversarial generation method for smart contract fuzz testing seeds guided by chain-based LLM.
Autom. Softw. Eng.
Jiaze Sun, Zhiqiang Yin, Hengshan Zhang, Xiang Chen, Wei Zheng
2025 J jnl
An Empirical Study of Code Simplification Methods in Code Intelligence Tasks.
ACM Trans. Softw. Eng. Methodol.
Zongwen Shen, Yuning Li, Jidong Ge, Xiang Chen, Chuanyi Li, Liguo Huang, Bin Luo
2025 J jnl
An Empirical Study of OpenAI API Discussions on Stack Overflow.
CoRR
Xiang Chen, Jibin Wang, Chaoyang Gao, Xiaolin Ju, Zhanqi Cui
2025 J jnl
An Empirical Study on Challenges for LLM Application Developers.
ACM Trans. Softw. Eng. Methodol.
Xiang Chen, Chaoyang Gao, Chunyang Chen, Guangbei Zhang, Yong Liu
2025 J jnl
An empirical study on the code naturalness modeling capability for LLMs in automated patch correctness assessment.
Autom. Softw. Eng.
Yuning Li, Wenkang Zhong, Zongwen Shen, Chuanyi Li, Xiang Chen, Jidong Ge, Bin Luo
2025 J jnl
An ensemble-based transfer testing method for Large Language Models.
Eng. Appl. Artif. Intell.
Yuanxin Qiao, Yong Liu, Xiang Chen, Zhanqi Cui
2025 J jnl
An input-denoising-based defense against stealthy backdoor attacks in large language models for code.
Inf. Softw. Technol.
Yubin Qu, Song Huang, Xiang Chen, Tongtong Bai, Yongming Yao
2025 J jnl
Assessing and improving syntactic adversarial robustness of pre-trained models for code translation.
Inf. Softw. Technol.
Guang Yang, Yu Zhou, Xiangyu Zhang, Xiang Chen, Tingting Han, Taolue Chen
2025 J jnl
Boosting mutation-based fault localization by effectively generating Higher-Order Mutants.
Inf. Softw. Technol.
Shumei Wu, Binbin Yang, Zexing Chang, Zheng Li, Xiang Chen, Yong Liu
2025 J jnl
CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation.
CoRR
Guang Yang, Yu Zhou, Xiang Chen, Wei Zheng, Xing Hu, Xin Zhou, David Lo, Taolue Chen
2025 A* conf
Code-DiTing: Automatic Evaluation of Code Generation without References or Test Cases.
ASE
Guang Yang, Yu Zhou, Xiang Chen, Wei Zheng, Xing Hu, Xin Zhou, David Lo, Taolue Chen
2025 J jnl
Deep Learning Framework Testing via Model Mutation: How Far Are We?
CoRR
Yanzhou Mu, Rong Wang, Juan Zhai, Chunrong Fang, Xiang Chen, Zhiyuan Peng, Peiran Yang, Ruixiang Qian, Shaoyu Yang, Zhenyu Chen
2025 J jnl
Designing Deep Learning Frameworks for LLMs:Challenges, Expectations, and Opportunities.
CoRR
Yanzhou Mu, Rong Wang, Juan Zhai, Chunrong Fang, Xiang Chen, Jiacong Wu, An Guo, Jiawei Shen, Bingzhuo Li, Zhenyu Chen
2025 J jnl
DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation.
CoRR
Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Yinglong Zou, Tao Zheng, Zhenyu Chen
2025 J jnl
Enhancing concurrency vulnerability detection through AST-based static fuzz mutation.
J. Syst. Softw.
Wei Zheng, Chang Liu, Peiran Deng, Xiang Chen, Xiaoxue Wu
2025 J jnl
Evaluating and Improving Large Language Models for Competitive Program Generation.
CoRR
Minnan Wei, Ziming Li, Xiang Chen, Menglin Zheng, Ziyan Qu, Cheng Yu, Siyu Chen, Xiaolin Ju
2025 J jnl
Experimental Evaluation of Parameter-Efficient Fine-Tuning for Software Engineering Tasks.
ACM Trans. Softw. Eng. Methodol.
Wentao Zou, Zongwen Shen, Qi Li, Jidong Ge, Chuanyi Li, Xiang Chen, Xiaoyu Shen, Liguo Huang, Bin Luo
2025 J jnl
Exploring the Potential and Limitations of Large Language Models for Novice Program Fault Localization.
CoRR
Hexiang Xu, Hengyuan Liu, Yonghao Wu, Xiaolan Kang, Xiang Chen, Yong Liu
2025 J jnl
FedMVA: Enhancing software vulnerability assessment via federated multimodal learning.
J. Syst. Softw.
Qingyun Liu, Xiaolin Ju, Xiang Chen, Lina Gong
2025 J jnl
HGAN4VD: Leveraging Heterogeneous Graph Attention Networks for enhanced Vulnerability Detection.
Comput. Secur.
Yucheng Zhang, Xiaolin Ju, Xiang Chen, Misbahul Amin, Zilong Ren
2025 J jnl
IATT: Interpretation Analysis-based Transferable Test Generation for Convolutional Neural Networks.
ACM Trans. Softw. Eng. Methodol.
Ruilin Xie, Xiang Chen, Qifan He, Bixin Li, Zhanqi Cui
2025 J jnl
Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing.
CoRR
Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Kexin Zhao, An Guo, Zhenyu Chen
2025 J jnl
Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing.
Proc. ACM Softw. Eng.
Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Kexin Zhao, An Guo, Zhenyu Chen
2025 J jnl
Improving Source Code Pre-Training via Type-Specific Masking.
ACM Trans. Softw. Eng. Methodol.
Wentao Zou, Qi Li, Chuanyi Li, Jidong Ge, Xiang Chen, Liguo Huang, Bin Luo
2025 J jnl
Improving distributed learning-based vulnerability detection via multi-modal prompt tuning.
J. Syst. Softw.
Zilong Ren, Xiaolin Ju, Xiang Chen, Yubin Qu
2025 J jnl
Improving prompt tuning-based software vulnerability assessment by fusing source code and vulnerability description.
Autom. Softw. Eng.
Jiyu Wang, Xiang Chen, Wenlong Pei, Shaoyu Yang
2025 J jnl
Improving vulnerability type prediction and line-level detection via adversarial training-based data augmentation and multi-task learning.
CoRR
Siyu Chen, Jiongyi Yang, Xiang Chen, Menglin Zheng, Minnan Wei, Xiaolin Ju
2025 J jnl
Integrating neural mutation into mutation-based fault localization: A hybrid approach.
J. Syst. Softw.
Hengyuan Liu, Zheng Li, Baolong Han, Xiang Chen, Paul Doyle, Yong Liu
2025 J jnl
JIT-CF: Integrating contrastive learning with feature fusion for enhanced just-in-time defect prediction.
Inf. Softw. Technol.
Xiaolin Ju, Yi Cao, Xiang Chen, Lina Gong, Vaskar Chakma, Xin Zhou
2025 J jnl
LLMs are Bug Replicators: An Empirical Study on LLMs' Capability in Completing Bug-prone Code.
CoRR
Liwei Guo, Sixiang Ye, Zeyu Sun, Xiang Chen, Yuxia Zhang, Bo Wang, Jie M. Zhang, Zheng Li, Yong Liu
2025 J jnl
Large Language Model for Verilog Code Generation: Literature Review and the Road Ahead.
CoRR
Guang Yang, Wei Zheng, Xiang Chen, Dong Liang, Peng Hu, Yukui Yang, Shaohang Peng, Zhenghan Li, Jiahui Feng, Xiao Wei, Kexin Sun, Deyuan Ma, Haotian Cheng, Yiheng Shen, Xing Hu, Terry Yue Zhuo, David Lo
2025 J jnl
Learning never stops: Improving software vulnerability type identification via incremental learning.
J. Syst. Softw.
Jiacheng Xue, Xiang Chen, Zhanqi Cui, Yong Liu
2025 J jnl
MCL-VD: Multi-modal contrastive learning with LoRA-enhanced GraphCodeBERT for effective vulnerability detection.
Autom. Softw. Eng.
Yi Cao, Xiaolin Ju, Xiang Chen, Lina Gong
2025 J jnl
May the Feedback Be with You! Unlocking the Power of Feedback-Driven Deep Learning Framework Fuzzing via LLMs.
CoRR
Shaoyu Yang, Chunrong Fang, Haifeng Lin, Xiang Chen, Zhenyu Chen
2025 J jnl
NG_MDERANK: A software vulnerability feature knowledge extraction method based on N-gram similarity.
J. Softw. Evol. Process.
Xiaoxue Wu, Shiyu Weng, Bin Zheng, Wei Zheng, Xiang Chen, Xiaobing Sun
2025 J jnl
Resource-efficient automatic software vulnerability assessment via knowledge distillation and particle swarm optimization.
Eng. Appl. Artif. Intell.
Chaoyang Gao, Xiang Chen, Jiyu Wang, Jibin Wang, Guang Yang
2025 J jnl
SCATCom: Code Comment Generation by Fusing Multi-Information.
Int. J. Softw. Eng. Knowl. Eng.
Rongcun Wang, Jie Zhou, Xiang Chen, Zhanqi Cui, Shujuan Jiang
2025 J jnl
SCOPE: Hybrid optimization strategy for higher-order mutation-based fault localization.
Inf. Softw. Technol.
Hengyuan Liu, Zheng Li, Xiaolan Kang, Shumei Wu, Paul Doyle, Xiang Chen, Yong Liu
2025 J jnl
SVA-ICL: Improving LLM-based software vulnerability assessment via in-context learning and information fusion.
Inf. Softw. Technol.
Chaoyang Gao, Xiang Chen, Guangbei Zhang
2025 J jnl
Semi-supervised software vulnerability assessment via code lexical and structural information fusion.
Autom. Softw. Eng.
Wenlong Pei, Yilin Huang, Xiang Chen, Guilong Lu, Yong Liu, Chao Ni
2025 J jnl
The Cream Rises to the Top: Efficient Reranking Method for Verilog Code Generation.
CoRR
Guang Yang, Wei Zheng, Xiang Chen, Yifan Sun, Fengji Zhang, Terry Yue Zhuo
2025 J jnl
Towards prompt tuning-based software vulnerability assessment with continual learning.
Comput. Secur.
Jiacheng Xue, Xiang Chen, Jiyu Wang, Zhanqi Cui
2024 — conf
Ada4DP: Adversarial Enhanced Dual-Attentive Aggregation Learning for Defect Prediction.
QRS Companion
Yucheng Zhang, Chenqiang Shen, Xiaolin Ju, Hao Shen, Xiang Chen
2024 J jnl
An Empirical Study on Challenges for LLM Developers.
CoRR
Xiang Chen, Chaoyang Gao, Chunyang Chen, Guangbei Zhang, Yong Liu
2024 J jnl
An Empirical Study on Correlations Between Deep Neural Network Fairness and Neuron Coverage Criteria.
IEEE Trans. Software Eng.
Wei Zheng, Lidan Lin, Xiaoxue Wu, Xiang Chen
2024 J jnl
Automatic Bi-modal Question Title Generation for Stack Overflow with Prompt Learning.
CoRR
Shaoyu Yang, Xiang Chen, Ke Liu, Guang Yang, Chi Yu
2024 J jnl
Automatic bi-modal question title generation for Stack Overflow with prompt learning.
Empir. Softw. Eng.
Shaoyu Yang, Xiang Chen, Ke Liu, Guang Yang, Chi Yu
2024 J jnl
Automatic smart contract comment generation via large language models and in-context learning.
Inf. Softw. Technol.
Junjie Zhao, Xiang Chen, Guang Yang, Yiheng Shen
2024 J jnl
Automatic title completion for Stack Overflow posts and GitHub issues.
Empir. Softw. Eng.
Xiang Chen, Wenlong Pei, Shaoyu Yang, Yanlin Zhou, Zichen Zhang, Jiahua Pei
2024 J jnl
Bash comment generation via data augmentation and semantic-aware CodeBERT.
Autom. Softw. Eng.
Yiheng Shen, Xiaolin Ju, Xiang Chen, Guang Yang
2024 J jnl
CSVD-TF: Cross-project software vulnerability detection with TrAdaBoost by fusing expert metrics and semantic metrics.
J. Syst. Softw.
Zhilong Cai, Yongwei Cai, Xiang Chen, Guilong Lu, Wenlong Pei, Junjie Zhao
2024 J jnl
Chain-of-Thought in Neural Code Generation: From and for Lightweight Language Models.
IEEE Trans. Software Eng.
Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Terry Yue Zhuo, Taolue Chen
2024 J jnl
CodeScore-R: An Automated Robustness Metric for Assessing the FunctionalCorrectness of Code Synthesis.
CoRR
Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang
2024 J jnl
CrossFuzz: Cross-contract fuzzing for smart contract vulnerability detection.
Sci. Comput. Program.
Huiwen Yang, Xiguo Gu, Xiang Chen, Liwei Zheng, Zhanqi Cui
2024 J jnl
DPFuzz: A fuzz testing tool based on the guidance of defect prediction.
Sci. Comput. Program.
Zhanqi Cui, Haochen Jin, Xiang Chen, Rongcun Wang, Xiulei Liu
2024 J jnl
DeCE: Deceptive Cross-Entropy Loss Designed for Defending Backdoor Attacks.
CoRR
Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Terry Yue Zhuo, David Lo, Taolue Chen
2024 J jnl
Delta4Ms: Improving mutation-based fault localization by eliminating mutant bias.
Softw. Test. Verification Reliab.
Hengyuan Liu, Zheng Li, Baolong Han, Yangtao Liu, Xiang Chen, Yong Liu
2024 J jnl
Detection of backdoor attacks using targeted universal adversarial perturbations for deep neural networks.
J. Syst. Softw.
Yubin Qu, Song Huang, Xiang Chen, Xingya Wang, Yongming Yao
2024 A* conf
DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation.
ASE
Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Yinglong Zou, Tao Zheng, Zhenyu Chen
2024 J jnl
GBSR: Graph-based suspiciousness refinement for improving fault localization.
J. Syst. Softw.
Zheng Li, Mingyu Li, Shumei Wu, Shunqing Xu, Xiang Chen, Yong Liu
2024 J jnl
GRACE: Empowering LLM-based software vulnerability detection with graph structure and in-context learning.
J. Syst. Softw.
Guilong Lu, Xiaolin Ju, Xiang Chen, Wenlong Pei, Zhilong Cai
2024 J jnl
How Important Are Good Method Names in Neural Code Generation? A Model Robustness Perspective.
ACM Trans. Softw. Eng. Methodol.
Guang Yang, Yu Zhou, Wenhua Yang, Tao Yue, Xiang Chen, Taolue Chen
2024 J jnl
ISTA+: Test case generation and optimization for intelligent systems based on coverage analysis.
Sci. Comput. Program.
Xiaoxue Wu, Yizeng Gu, Lidan Lin, Wei Zheng, Xiang Chen
2024 J jnl
Less is More: DocString Compression in Code Generation.
CoRR
Guang Yang, Yu Zhou, Wei Cheng, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, Ke Liu, Xin Zhou, David Lo, Taolue Chen
2024 J jnl
Less is More: Towards Green Code Large Language Models via Unified Structural Pruning.
CoRR
Guang Yang, Yu Zhou, Xiangyu Zhang, Wei Cheng, Ke Liu, Xiang Chen, Terry Yue Zhuo, Taolue Chen
2024 J jnl
Making vulnerability prediction more practical: Prediction, categorization, and localization.
Inf. Softw. Technol.
Chongyang Liu, Xiang Chen, Xiangwei Li, Yinxing Xue
2024 J jnl
Multi-objective optimization-based and fault localization-oriented test case generation for novice programs.
J. Softw. Evol. Process.
Yong Liu, Zezhong Yang, Luxi Fan, Yonghao Wu, Xiang Chen, Xiaotang Zhou
2024 B conf
Neural-MBFL: Improving Mutation-Based Fault Localization by Neural Mutation.
COMPSAC
Bin Du, Baolong Han, Hengyuan Liu, Zexing Chang, Yong Liu, Xiang Chen
2024 J jnl
ProRLearn: boosting prompt tuning-based vulnerability detection by reinforcement learning.
Autom. Softw. Eng.
Zilong Ren, Xiaolin Ju, Xiang Chen, Hao Shen
2024 J jnl
SeDPGK: Semi-supervised software defect prediction with graph representation learning and knowledge distillation.
Inf. Softw. Technol.
Wangshu Liu, Ye Yue, Xiang Chen, Qing Gu, Pengzhan Zhao, Xuejun Liu, Jianjun Zhao
2023 J jnl
A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation.
CoRR
Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Yiran Xu, Tingting Han, Taolue Chen
2023 J jnl
A Token-based Compilation Error Categorization and Its Applications.
J. Softw. Evol. Process.
Haifeng Wang, Hengyuan Liu, Zheng Li, Yong Liu, Fuxiang Sun, Xiang Chen
2023 J jnl
A syntax-guided multi-task learning approach for Turducken-style code generation.
Empir. Softw. Eng.
Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Yiran Xu, Tingting Han, Taolue Chen
2023 — conf
APICom: Automatic API Completion via Prompt Learning and Adversarial Training-based Data Augmentation.
Internetware
Yafeng Gu, Yiheng Shen, Xiang Chen, Shaoyu Yang, Yiling Huang, Zhixiang Cao
2023 J jnl
APICom: Automatic API Completion via Prompt Learning and Adversarial Training-based Data Augmentation.
CoRR
Yafeng Gu, Yiheng Shen, Xiang Chen, Shaoyu Yang, Yiling Huang, Zhixiang Cao
2023 J jnl
Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We?
CoRR
Weisong Sun, Chunrong Fang, Yun Miao, Yudu You, Mengzhe Yuan, Yuchen Chen, Quanjun Zhang, An Guo, Xiang Chen, Yang Liu, Zhenyu Chen
2023 J jnl
Achieving High MAP-Coverage Through Pattern Constraint Reduction.
IEEE Trans. Software Eng.
Yingquan Zhao, Zan Wang, Shuang Liu, Jun Sun, Junjie Chen, Xiang Chen
2023 C conf
An Empirical Study of Adversarial Training in Code Comment Generation.
SEKE
Yiheng Shen, Xiaolin Ju, Xiang Chen, Guang Yang
2023 J jnl
Assessing and Improving Syntactic Adversarial Robustness of Pre-trained Models for Code Translation.
CoRR
Guang Yang, Yu Zhou, Xiangyu Zhang, Xiang Chen, Tingting Han, Taolue Chen
2023 C conf
Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study.
APSEC
Guilong Lu, Xiaolin Ju, Xiang Chen, Shaoyu Yang, Liang Chen, Hao Shen
2023 J jnl
Automated Question Title Reformulation by Mining Modification Logs From Stack Overflow.
IEEE Trans. Software Eng.
Ke Liu, Xiang Chen, Chunyang Chen, Xiaofei Xie, Zhanqi Cui
2023 J jnl
Automatic Smart Contract Comment Generation via Large Language Models and In-Context Learning.
CoRR
Junjie Zhao, Xiang Chen, Guang Yang, Yiheng Shen
2023 J jnl
Boosting multi-objective just-in-time software defect prediction by fusing expert metrics and semantic metrics.
J. Syst. Softw.
Xiang Chen, Hongling Xia, Wenlong Pei, Chao Ni, Ke Liu
2023 J jnl
CIDFuzz: Fuzz testing for continuous integration.
IET Softw.
Jiaming Zhang, Zhanqi Cui, Xiang Chen, Huiwen Yang, Liwei Zheng, Jianbin Liu
2023 J jnl
CRMF: A fault localization approach based on class reduction and method call frequency.
Softw. Pract. Exp.
Hengyuan Liu, Zheng Li, Haifeng Wang, Yong Liu, Xiang Chen
2023 J jnl
Chain-of-Thought in Neural Code Generation: From and For Lightweight Language Models.
CoRR
Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Terry Yue Zhuo, Taolue Chen
2023 B conf
EDP-BGCNN: Effective Defect Prediction via BERT-based Graph Convolutional Neural Network.
COMPSAC
Hao Shen, Xiaolin Ju, Xiang Chen, Guang Yang
2023 J jnl
ExploitGen: Template-augmented exploit code generation based on CodeBERT.
J. Syst. Softw.
Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Tingting Han, Taolue Chen
2023 J jnl
Exploring Better Black-Box Test Case Prioritization via Log Analysis.
ACM Trans. Softw. Eng. Methodol.
Zhichao Chen, Junjie Chen, WeiJing Wang, Jianyi Zhou, Meng Wang, Xiang Chen, Shan Zhou, Jianmin Wang
2023 A conf
Extended Abstract of SeCNN: A semantic CNN parser for code comment generation.
SANER
Zheng Li, Yonghao Wu, Bin Peng, Xiang Chen, Zeyu Sun, Yong Liu, Deli Yu
2023 A conf
FVA: Assessing Function-Level Vulnerability by Integrating Flow-Sensitive Structure and Code Statement Semantic.
ICPC
Chao Ni, Liyu Shen, Wei Wang, Xiang Chen, Xin Yin, Lexiao Zhang
2023 J jnl
GC-MCR: Directed Graph Constraint-guided Concurrent Bug Detection Method.
Int. J. Softw. Informatics
Shuochuan Li, Zan Wang, Mingxu Ma, Xiang Chen, Yingquan Zhao, Haichi Wang, Haoyu Wang
2023 A conf
GMBFL: Optimizing Mutation-Based Fault Localization via Graph Representation.
ICSME
Shumei Wu, Zheng Li, Yong Liu, Xiang Chen, Mingyu Li
2023 J jnl
GNet4FL: effective fault localization via graph convolutional neural network.
Autom. Softw. Eng.
Jie Qian, Xiaolin Ju, Xiang Chen
2023 A conf
ISTA: Automatic Test Case Generation and Optimization for Intelligent Systems based on Coverage Analysis.
SANER
Wei Zheng, Lidan Lin, Xiang Chen, Guoliang Liu, Hao Huang, Jinjin Shen, Qingqing Xu, Yizeng Gu
2023 B conf
Identifying Coincidental Correct Test Cases with Multiple Features Extraction for Fault Localization.
COMPSAC
Yonghao Wu, Shuaihua Tian, Zezhong Yang, Zheng Li, Yong Liu, Xiang Chen
2023 B conf
Improving Fault Localization by Complex-Fault Oriented Higher-Order Mutant Generation.
COMPSAC
Zexing Chang, Yong Liu, Shumei Wu, Paul Doyle, Haifeng Wang, Xiang Chen
2023 A conf
QTC4SO: Automatic Question Title Completion for Stack Overflow.
ICPC
Yanlin Zhou, Shaoyu Yang, Xiang Chen, Zichen Zhang, Jiahua Pei
2023 B conf
SGS: Mutant Reduction for Higher-order Mutation-based Fault Localization.
COMPSAC
Luxi Fan, Zheng Li, Hengyuan Liu, Paul Doyle, Haifeng Wang, Xiang Chen, Yong Liu
2023 J jnl
SeTransformer: A Transformer-Based Code Semantic Parser for Code Comment Generation.
IEEE Trans. Reliab.
Zheng Li, Yonghao Wu, Bin Peng, Xiang Chen, Zeyu Sun, Yong Liu, Paul Doyle
2023 B conf
TBCUP: A Transformer-based Code Comments Updating Approach.
COMPSAC
Shifan Liu, Zhanqi Cui, Xiang Chen, Jun Yang, Li Li, Liwei Zheng
2023 J jnl
TitleGen-FL: Quality prediction-based filter for automated issue title generation.
J. Syst. Softw.
Hao Lin, Xiang Chen, Xuejiao Chen, Zhanqi Cui, Yun Miao, Shan Zhou, Jianmin Wang, Zhan Su
2023 A* conf
Unifying Defect Prediction, Categorization, and Repair by Multi-Task Deep Learning.
ASE
Chao Ni, Kaiwen Yang, Yan Zhu, Xiang Chen, Xiaohu Yang
2023 J jnl
VsusFL: Variable-suspiciousness-based Fault Localization for novice programs.
J. Syst. Softw.
Zheng Li, Shumei Wu, Yong Liu, Jitao Shen, Yonghao Wu, Zhanwen Zhang, Xiang Chen
2022 J jnl
An Empirical Study on Higher-Order Mutation-Based Fault Localization.
Int. J. Softw. Eng. Knowl. Eng.
Haifeng Wang, Zheng Li, Yong Liu, Xiang Chen
2022 A* conf
An Empirical Study on Numerical Bugs in Deep Learning Programs.
ASE
Gan Wang, Zan Wang, Junjie Chen, Xiang Chen, Ming Yan
2022 A conf
BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT.
ICSME
Chi Yu, Guang Yang, Xiang Chen, Ke Liu, Yanlin Zhou
2022 J jnl
BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT.
CoRR
Chi Yu, Guang Yang, Xiang Chen, Ke Liu, Yanlin Zhou
2022 — conf
Blocking Bugs Identification via Binary Relevance and Logistic Regression Analysis.
DSA
Zhihua Chen, Xiaolin Ju, Guilong Lu, Xiang Chen
2022 J jnl
CCGIR: Information retrieval-based code comment generation method for smart contracts.
Knowl. Based Syst.
Guang Yang, Ke Liu, Xiang Chen, Yanlin Zhou, Chi Yu, Hao Lin
2022 — conf
CIL-BSP: Bug Report Severity Prediction based on Class Imbalanced Learning.
QRS Companion
Yu Su, Xinping Hu, Xiang Chen, Yubin Qu, Qianshuang Meng
2022 J jnl
Can Higher-Order Mutants Improve the Performance of Mutation-Based Fault Localization?
IEEE Trans. Reliab.
Haifeng Wang, Zheng Li, Yong Liu, Xiang Chen, Paul D. Franzon, Yuxiaoyang Cai, Luxi Fan
2022 J jnl
Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study.
Inf. Softw. Technol.
Chunyu Zhao, Yanzhou Mu, Xiang Chen, Jingke Zhao, Xiaolin Ju, Gan Wang
2022 J jnl
Deep Learning Test Optimization Method Using Multi-objective Optimization.
Int. J. Softw. Informatics
Yanzhou Mu, Zan Wang, Xiang Chen, Junjie Chen, Jingke Zhao, Jianmin Wang
2022 J jnl
Defect Identification, Categorization, and Repair: Better Together.
CoRR
Chao Ni, Kaiwen Yang, Xin Xia, David Lo, Xiang Chen, Xiaohu Yang
2022 J jnl
DeltaFuzz: Historical Version Information Guided Fuzz Testing.
J. Comput. Sci. Technol.
Jia-Ming Zhang, Zhanqi Cui, Xiang Chen, Huanhuan Wu, Liwei Zheng, Jian-Bin Liu
2022 J jnl
Do we need to pay technical debt in blockchain software systems?
Connect. Sci.
Yubin Qu, Tie Bao, Xiang Chen, Long Li, Xianzhen Dou, Meng Yuan, Hongmei Wang
2022 A conf
DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning.
SANER
Guang Yang, Xiang Chen, Yanlin Zhou, Chi Yu
2022 J jnl
DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning.
CoRR
Guang Yang, Xiang Chen, Yanlin Zhou, Chi Yu
2022 — conf
EL-CodeBert: Better Exploiting CodeBert to Support Source Code-Related Classification Tasks.
Internetware
Ke Liu, Guang Yang, Xiang Chen, Yanlin Zhou
2022 J jnl
How Important are Good Method Names in Neural Code Generation? A Model Robustness Perspective.
CoRR
Guang Yang, Yu Zhou, Wenhua Yang, Tao Yue, Xiang Chen, Taolue Chen
2022 A conf
Improving the Performance of Mutation-based Fault Localization via Mutant Bias Practical Experience Report.
ISSRE
Bin Du, Yuxiaoyang Cai, Haifeng Wang, Yong Liu, Xiang Chen
2022 J jnl
Interpretability application of the Just-in-Time software defect prediction model.
J. Syst. Softw.
Wei Zheng, Tianren Shen, Xiang Chen, Peiran Deng
2022 J jnl
Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction.
IEEE Trans. Software Eng.
Chao Ni, Xin Xia, David Lo, Xiang Chen, Qing Gu
2022 A conf
SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow.
SANER
Ke Liu, Guang Yang, Xiang Chen, Chi Yu
2022 J jnl
SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow.
CoRR
Ke Liu, Guang Yang, Xiang Chen, Chi Yu
2022 — conf
SemirFL: Boosting Fault Localization via Combining Semantic Information and Information Retrieval.
QRS Companion
Xiangyu Shi, Xiaolin Ju, Xiang Chen, Guilong Lu, Mengqi Xu
2022 J jnl
Theoretical Analysis and Empirical Study on the Impact of Coincidental Correct Test Cases in Multiple Fault Localization.
IEEE Trans. Reliab.
Yonghao Wu, Yong Liu, Weibo Wang, Zheng Li, Xiang Chen, Paul Doyle
2021 J jnl
A Comparative Study of Class Rebalancing Methods for Security Bug Report Classification.
IEEE Trans. Reliab.
Wei Zheng, Yuxing Xun, Xiaoxue Wu, Zhi Deng, Xiang Chen, Yulei Sui
2021 — conf
A comprehensive study of deep learning compiler bugs.
ESEC/SIGSOFT FSE
Qingchao Shen, Haoyang Ma, Junjie Chen, Yongqiang Tian, Shing-Chi Cheung, Xiang Chen
2021 C conf
AGFL: A Graph Convolutional Neural Network-Based Method for Fault Localization.
QRS
Jie Qian, Xiaolin Ju, Xiang Chen, Hao Shen, Yiheng Shen
2021 — conf
Applying Faulty Statement Category Frequency to Localize Faults for Student Programs.
ICCSE
Zheng Li, Xiaotang Zhou, Yonghao Wu, Yong Liu, Xiang Chen
2021 A* conf
Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow.
ICSE
Kaibo Cao, Chunyang Chen, Sebastian Baltes, Christoph Treude, Xiang Chen
2021 J jnl
Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow.
CoRR
Kaibo Cao, Chunyang Chen, Sebastian Baltes, Christoph Treude, Xiang Chen
2021 — conf
Automated Student Code Scoring by Analyzing Grammatical and Semantic Information of Code.
ICCSE
Zheng Li, Liping Li, Yonghao Wu, Yong Liu, Xiang Chen
2021 A conf
Automatically Identifying Bug Reports with Tactical Vulnerabilities by Deep Feature Learning.
ISSRE
Wei Zheng, Manqing Zhang, Hui Tang, Yuanfang Cai, Xiang Chen, Xiaoxue Wu, Abubakar Omari Abdallah Semasaba
2021 B conf
CLACER: A Deep Learning-based Compilation Error Classification Method for Novice Students' Programs.
COMPSAC
Zheng Li, Fuxiang Sun, Haifeng Wang, Yifan Ding, Yong Liu, Xiang Chen
2021 — conf
ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation.
DSA
Guang Yang, Xiang Chen, Jinxin Cao, Shuyuan Xu, Zhanqi Cui, Chi Yu, Ke Liu
2021 J jnl
ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation.
CoRR
Guang Yang, Xiang Chen, Jinxin Cao, Shuyuan Xu, Zhanqi Cui, Chi Yu, Ke Liu
2021 — conf
Data-driven based student programming competition award prediction via machine learning models.
ICCSE
Yong Liu, Kai Tian, Haifeng Wang, Hengyuan Liu, Yonghao Wu, Xiang Chen
2021 J jnl
DeepPseudo: Deep Pseudo-code Generation via Transformer and Code Feature Extraction.
CoRR
Guang Yang, Xiang Chen, Ke Liu, Chi Yu
2021 C conf
DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa (S).
SEKE
Guang Yang, Yanlin Zhou, Chi Yu, Xiang Chen
2021 J jnl
DeepSCC: Source Code Classification Based on Fine-Tuned RoBERTa.
CoRR
Guang Yang, Yanlin Zhou, Chi Yu, Xiang Chen
2021 — conf
EKD-BSP: Bug Report Severity Prediction by Extracting Keywords from Description.
DSA
Yanxin Jia, Xiang Chen, Shuyuan Xu, Guang Yang, Jinxin Cao
2021 J jnl
Empirical studies on the impact of filter-based ranking feature selection on security vulnerability prediction.
IET Softw.
Xiang Chen, Zhidan Yuan, Zhanqi Cui, Dun Zhang, Xiaolin Ju
2021 C conf
Evaluating Code Summarization with Improved Correlation with Human Assessment.
QRS
Juanjuan Shen, Yu Zhou, Yongchao Wang, Xiang Chen, Tingting Han, Taolue Chen
2021 J jnl
Evaluation indicators for open-source software: a review.
Cybersecur.
Yuhang Zhao, Ruigang Liang, Xiang Chen, Jing Zou
2021 — conf
Fault Localization-Guided Test Data Generation Approach for Novice Programs.
DSA
Zheng Li, Xiaotang Zhou, Deli Yu, Yonghao Wu, Yong Liu, Xiang Chen
2021 C conf
Fine-grained Pseudo-code Generation Method via Code Feature Extraction and Transformer.
APSEC
Guang Yang, Yanlin Zhou, Xiang Chen, Chi Yu
2021 C conf
HARS: Heuristic-Enhanced Adaptive Randomized Scheduling for Concurrency Testing.
QRS
Yanzhou Mu, Zan Wang, Shuang Liu, Jun Sun, Junjie Chen, Xiang Chen
2021 — conf
HMBFL: Higher-Order Mutation-Based Fault Localization.
DSA
Zheng Li, Butian Shi, Haifeng Wang, Yong Liu, Xiang Chen
2021 J jnl
HOPE: Software Defect Prediction Model Construction Method via Homomorphic Encryption.
IEEE Access
Chi Yu, Zixuan Ding, Xiang Chen
2021 — conf
Improving Blocking Bug Pair Prediction via Hybrid Deep Learning.
QRS Companion
Zhihua Chen, Xiaolin Ju, Yiheng Shen, Xiang Chen
2021 J jnl
Improving high-impact bug report prediction with combination of interactive machine learning and active learning.
Inf. Softw. Technol.
Xiaoxue Wu, Wei Zheng, Xiang Chen, Yu Zhao, Tingting Yu, Dejun Mu
2021 — conf
Just-in-Time Defect Prediction Technology based on Interpretability Technology.
DSA
Wei Zheng, Tianren Shen, Xiang Chen
2021 J jnl
Laprob: A Label propagation-Based software bug localization method.
Inf. Softw. Technol.
Zhengliang Li, Zhiwei Jiang, Xiang Chen, Kaibo Cao, Qing Gu
2021 — conf
Optimization Model of Unmanned Aerial Vehicle Distribution Path with Integrated Loading and Unloading.
FSDM
Lei Wu, Ming Wei, Xiang Chen
2021 A conf
Research Progress of Flaky Tests.
SANER
Wei Zheng, Guoliang Liu, Manqing Zhang, Xiang Chen, Wenqiao Zhao
2021 J jnl
Revisiting heterogeneous defect prediction methods: How far are we?
Inf. Softw. Technol.
Xiang Chen, Yanzhou Mu, Ke Liu, Zhanqi Cui, Chao Ni
2021 C conf
S
APSEC
Wangshu Liu, Yongteng Zhu, Xiang Chen, Qing Gu, Xingya Wang, Shenkai Gu
2021 J jnl
SEthesaurus: WordNet in Software Engineering.
IEEE Trans. Software Eng.
Xiang Chen, Chunyang Chen, Dun Zhang, Zhenchang Xing
2021 J jnl
SeCNN: A semantic CNN parser for code comment generation.
J. Syst. Softw.
Zheng Li, Yonghao Wu, Bin Peng, Xiang Chen, Zeyu Sun, Yong Liu, Deli Yu
2020 J jnl
ALTRA: Cross-Project Software Defect Prediction via Active Learning and Tradaboost.
IEEE Access
Zhidan Yuan, Xiang Chen, Zhanqi Cui, Yanzhou Mu
2020 — conf
CIFEF: Combining Implicit and Explicit Features for Friendship Inference in Location-Based Social Networks.
KSEM (2)
Cheng He, Chao Peng, Na Li, Xiang Chen, Zhengfeng Yang, Zhenhao Hu
2020 J jnl
CVE-assisted large-scale security bug report dataset construction method.
J. Syst. Softw.
Xiaoxue Wu, Wei Zheng, Xiang Chen, Fang Wang, Dejun Mu
2020 J jnl
Do different cross-project defect prediction methods identify the same defective modules?
J. Softw. Evol. Process.
Xiang Chen, Yanzhou Mu, Yubin Qu, Chao Ni, Meng Liu, Tong He, Shangqing Liu
2020 J jnl
Empirical Evaluation on the Impact of Class Overlap for EEG-Based Early Epileptic Seizure Detection.
IEEE Access
Yubin Qu, Xiang Chen, Fang Li, Fan Yang, Junxia Ji, Long Li
2020 J jnl
FATOC: Bug Isolation Based Multi-Fault Localization by Using OPTICS Clustering.
J. Comput. Sci. Technol.
Yonghao Wu, Zheng Li, Yong Liu, Xiang Chen
2020 J jnl
IETCR: An Information Entropy Based Test Case Reduction Strategy for Mutation-Based Fault Localization.
IEEE Access
Haifeng Wang, Bin Du, Jie He, Yong Liu, Xiang Chen
2020 C conf
Improving Machine Learning-Based Code Smell Detection via Hyper-Parameter Optimization.
APSEC
Lei Shen, Wangshu Liu, Xiang Chen, Qing Gu, Xuejun Liu
2020 J jnl
Improving Software Fault Localization by Combining Spectrum and Mutation.
IEEE Access
Zhanqi Cui, Minghua Jia, Xiang Chen, Liwei Zheng, Xiulei Liu
2020 J jnl
LAL: Meta-Active Learning-based Software Defect Prediction.
Int. J. Perform. Eng.
Yubin Qu, Fang Li, Xiang Chen
2020 J jnl
Large-Scale Empirical Studies on Effort-Aware Security Vulnerability Prediction Methods.
IEEE Trans. Reliab.
Xiang Chen, Yingquan Zhao, Zhanqi Cui, Guozhu Meng, Yang Liu, Zan Wang
2020 C conf
Revisiting Dependence Cluster Metrics based Defect Prediction.
SEKE
Qiguo Huang, Xiang Chen, Zhengliang Li, Chao Ni, Qing Gu
2020 J jnl
The impact factors on the performance of machine learning-based vulnerability detection: A comparative study.
J. Syst. Softw.
Wei Zheng, Jialiang Gao, Xiaoxue Wu, Fengyu Liu, Yuxing Xun, Guoliang Liu, Xiang Chen
2019 J jnl
An empirical study on pareto based multi-objective feature selection for software defect prediction.
J. Syst. Softw.
Chao Ni, Xiang Chen, Fangfang Wu, Yuxiang Shen, Qing Gu
2019 B conf
Cross-project Defect Prediction via ASTToken2Vec and BLSTM-based Neural Network.
IJCNN
Hao Li, Xiaohong Li, Xiang Chen, Xiaofei Xie, Yanzhou Mu, Zhiyong Feng
2019 J jnl
DP-Share: Privacy-Preserving Software Defect Prediction Model Sharing Through Differential Privacy.
J. Comput. Sci. Technol.
Xiang Chen, Dun Zhang, Zhanqi Cui, Qing Gu, Xiaolin Ju
2019 J jnl
DeepCPDP: Deep Learning Based Cross-Project Defect Prediction.
IEEE Access
Deyu Chen, Xiang Chen, Hao Li, Junfeng Xie, Yanzhou Mu
2019 J jnl
Detecting Defects Based on Mining and Confirming Programming Patterns From Different Versions of Projects.
IEEE Access
Zhanqi Cui, Xiang Chen, Liwei Zheng, Zhihua Zhang, Yongmin Mu
2019 J jnl
Improving defect prediction with deep forest.
Inf. Softw. Technol.
Tianchi Zhou, Xiaobing Sun, Xin Xia, Bin Li, Xiang Chen
2019 A* conf
MAP-Coverage: A Novel Coverage Criterion for Testing Thread-Safe Classes.
ASE
Zan Wang, Yingquan Zhao, Shuang Liu, Jun Sun, Xiang Chen, Huarui Lin
2019 C conf
Multi-project Regression based Approach for Software Defect Number Prediction.
SEKE
Qiguo Huang, Chao Ni, Xiang Chen, Qing Gu, Kaibo Cao
2019 J jnl
Multitask defect prediction.
J. Softw. Evol. Process.
Chao Ni, Xiang Chen, Xin Xia, Qing Gu, Yingquan Zhao
2019 J jnl
Revisiting Heterogeneous Defect Prediction: How Far Are We?
CoRR
Xiang Chen, Yanzhou Mu, Chao Ni, Zhanqi Cui
2019 J jnl
Software defect number prediction: Unsupervised vs supervised methods.
Inf. Softw. Technol.
Xiang Chen, Dun Zhang, Yingquan Zhao, Zhanqi Cui, Chao Ni
2018 J jnl
A systematic survey on automated concurrency bug detection, exposing, avoidance, and fixing techniques.
Softw. Qual. J.
Haojie Fu, Zan Wang, Xiang Chen, Xiangyu Fan
2018 B conf
Exploiting Spatiotemporal Features to Infer Friendship in Location-Based Social Networks.
PRICAI
Cheng He, Chao Peng, Na Li, Xiang Chen, Lanying Guo
2018 J jnl
Localizing multiple software faults based on evolution algorithm.
J. Syst. Softw.
Yan Zheng, Zan Wang, Xiangyu Fan, Xiang Chen, Zijiang Yang
2018 J jnl
MULTI: Multi-objective effort-aware just-in-time software defect prediction.
Inf. Softw. Technol.
Xiang Chen, Yingquan Zhao, Qiuping Wang, Zhidan Yuan
2018 — conf
Mining Function Call Sequence Patterns Across Different Versions of the Project for Defect Detection.
SATE
Zhanqi Cui, Xiang Chen, Yongmin Mu, Zhihua Zhang, Xu Ma
2018 J jnl
Personalized project recommendation on GitHub.
Sci. China Inf. Sci.
Xiaobing Sun, Wenyuan Xu, Xin Xia, Xiang Chen, Bin Li
2018 — conf
Software Defect Prediction Model Sharing Under Differential Privacy.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Dun Zhang, Xiang Chen, Zhanqi Cui, Xiaolin Ju
2017 J jnl
A Cluster Based Feature Selection Method for Cross-Project Software Defect Prediction.
J. Comput. Sci. Technol.
Chao Ni, Wangshu Liu, Xiang Chen, Qing Gu, Daoxu Chen, George Q. Huang
2017 — conf
An In-Depth Study of the Efficiency of Risk Evaluation Formulas for Multi-Fault Localization.
QRS Companion
Xiaolin Ju, Xiang Chen, Yibiao Yang, Shujuan Jiang, Junyan Qian, Baowen Xu
2017 — conf
An Interactive Debugging Framework with Heuristic Graph.
SATE
Xiaolin Ju, Xiang Chen, Shujuan Jiang, Junyan Qian
2017 — conf
Applying Feature Selection to Software Defect Prediction Using Multi-objective Optimization.
COMPSAC (2)
Xiang Chen, Yuxiang Shen, Zhanqi Cui, Xiaolin Ju
2017 — conf
FeSCH: A Feature Selection Method using Clusters of Hybrid-data for Cross-Project Defect Prediction.
COMPSAC (1)
Chao Ni, Wangshu Liu, Qing Gu, Xiang Chen, Daoxu Chen
2017 — conf
Scalable Relevant Project Recommendation on GitHub.
Internetware
Wenyuan Xu, Xiaobing Sun, Xin Xia, Xiang Chen
2016 J jnl
Empirical Studies of a Two-Stage Data Preprocessing Approach for Software Fault Prediction.
IEEE Trans. Reliab.
Wangshu Liu, Shulong Liu, Qing Gu, Jiaqiang Chen, Xiang Chen, Daoxu Chen
2015 B conf
FECS: A Cluster Based Feature Selection Method for Software Fault Prediction with Noises.
COMPSAC
Wangshu Liu, Shulong Liu, Qing Gu, Xiang Chen, Daoxu Chen
2014 — conf
A Two-Stage Data Preprocessing Approach for Software Fault Prediction.
SERE
Jiaqiang Chen, Shulong Liu, Wangshu Liu, Xiang Chen, Qing Gu, Daoxu Chen
2014 B conf
FECAR: A Feature Selection Framework for Software Defect Prediction.
COMPSAC
Shulong Liu, Xiang Chen, Wangshu Liu, Jiaqiang Chen, Qing Gu, Daoxu Chen
2014 J jnl
HSFal: Effective fault localization using hybrid spectrum of full slices and execution slices.
J. Syst. Softw.
Xiaolin Ju, Shujuan Jiang, Xiang Chen, Xingya Wang, Yanmei Zhang, Heling Cao
2013 — conf
Empirical studies on feature selection for software fault prediction.
Internetware
Jiaqiang Chen, Shulong Liu, Xiang Chen, Qing Gu, Daoxu Chen
2013 J jnl
Remote Haptic Collaboration for Virtual Training of Lumbar Puncture.
J. Comput.
Zhengzheng Jiang, Zhan Gao, Xiang Chen, Wanjie Sun
2012 C conf
CATESR: Change-aware Test Suite Reduction Based on Partial Coverage of Test Requirements.
SEKE
Lijiu Zhang, Xiang Chen, Qing Gu, Haigang Zhao, Xiaoyan Shi, Daoxu Chen
2012 C conf
Factor Analysis for Influence Maximization Problem in Social Networks.
SNPD
Xing Shang, Xiang Chen, Zhiwei Jiang, Qing Gu, Daoxu Chen
2011 Misc conf
A test suite reduction approach based on pairwise interaction of requirements.
SAC
Xiang Chen, Lijiu Zhang, Qing Gu, Haigang Zhao, Ziyuan Wang, Xiaobing Sun, Daoxu Chen
2011 Misc conf
Using lattice of class and method dependence for change impact analysis of object oriented programs.
SAC
Xiaobing Sun, Bixin Li, Sai Zhang, Chuanqi Tao, Xiang Chen, Wanzhi Wen
2010 Misc conf
A study of relative redundancy in test-suite reduction while retaining or improving fault-localization effectiveness.
SAC
Xin Zhang, Qing Gu, Xiang Chen, Jingxian Qi, Daoxu Chen
2010 B conf
Applying Particle Swarm Optimization to Pairwise Testing.
COMPSAC
Xiang Chen, Qing Gu, Jingxian Qi, Daoxu Chen
2010 C conf
D-WAV: A Web Application Vulnerabilities Detection Tool Using Characteristics of Web Forms.
ICSEA
Lijiu Zhang, Qing Gu, Shushen Peng, Xiang Chen, Haigang Zhao, Daoxu Chen
2009 — conf
Building Prioritized Pairwise Interaction Test Suites with Ant Colony Optimization.
QSIC
Xiang Chen, Qing Gu, Xin Zhang, Daoxu Chen
2009 C conf
Fault Localization Based on Multi-level Similarity of Execution Traces.
APSEC
Xinping Wang, Qing Gu, Xin Zhang, Xiang Chen, Daoxu Chen
2009 C conf
Variable Strength Interaction Testing with an Ant Colony System Approach.
APSEC
Xiang Chen, Qing Gu, Ang Li, Daoxu Chen