| 2023 | A Case Study of Dependency Network for Building Packages: The Fedora Linux Distribution. Jiman Du, Jiaxin Zhu, Hui Liu, Wei Chen, Lijie Xu, Jie Liu, Zhifeng Chen |
| 2023 | A Detection-based Attention Alignment Method for Document-level Neural Machine Translation. Kang Zhong, Wu Guo, Bin Gu, Weitai Zhang, Chao Lin |
| 2023 | A Dynamic Drilling Sampling Method and Evaluation Model for Large-Scale Streaming Data. Peng Zhang, Zhaohui Zhang, Chaochao Hu, Pengwei Wang |
| 2023 | A Dynamic Matching Time Strategy Based on Multi-Agent Reinforcement Learning in Ride-Hailing. Shuai Li, Bing Shi, Yaping Deng |
| 2023 | A Medical Question Classification Approach Based on Prompt Tuning and Contrastive Learning (S). Qian Wang, Cheng Zeng, Yujin Liu, Peng He |
| 2023 | A Model-Driven Development Framework for Geographical and Relational Database Systems. Carlos Eduardo Pantoja, João Victor Guinelli, Tielle Alexandre, José Viterbo |
| 2023 | A Review of Methods for Identifying Extract Method Refactoring. Omkarendra Tiwari, Vrinda Yadav |
| 2023 | A Software Defect Prediction Method based on Multi-type Features and Feature Selection. Jiaxin Liu, Hao Xu, Lu Lu, Quanyi Zou, Zhanyu Yang |
| 2023 | A Triplet Network Approach for Chinese Confusing Text Classification. Rui Xu, Cheng Zeng, Yujin Liu, Peng He, Min Chen |
| 2023 | A novel subjective bias detection method based on multi-information fusion. Lidan Zhao, Tong Li, Zhen Yang, Junrui Liu |
| 2023 | AFL2oop: Loop Coverage Guided Greybox Fuzz Testing. Haochen Jin, Liwei Zheng, Zhanqi Cui |
| 2023 | ASC4AI: A Novel Automatic Service Composition Framework for AI Systems (S). Zhiguo Li, Qin Li |
| 2023 | ASMix: An Attention-based Smooth Data Augmentation Approach. Rongxi Guo, Wanrong Jiang, Xi Zhao, Ding Cao, Guiquan Liu |
| 2023 | ASTD: Automatic Seasonal-Trend Decomposition for Time Series. Bowen Chen |
| 2023 | AT-NCF: An Attention-based Time-aware Neural Collaborative Filtering Approach for Personalized Recommendation (S). Yimin Peng, Rong Hu, Yiping Wen |
| 2023 | Altering Backward Pass Gradients to Improve Convergence (S). Bishshoy Das, Milton Mondal, Brejesh Lall, Shiv Dutt Joshi, Sumantra Dutta Roy |
| 2023 | An Effective Method for Constructing Knowledge Graph to Search Reusable ROS Nodes (S). Yuxin Zhao, Xinjun Mao, Sun Bo, Tanghaoran Zhang, Shuo Yang |
| 2023 | An Efficient Design Smell Detection Approach with Inter-class Relation (S). Hao Zhu, Yichen Li, Jie Li, Xiaofang Zhang |
| 2023 | An Efficient Lossless Graph Summarization Method for Large Streaming Graphs. Qia Wang, Yi Wang, Ying Wang |
| 2023 | An Empirical Study of Adversarial Training in Code Comment Generation. Yiheng Shen, Xiaolin Ju, Xiang Chen, Guang Yang |
| 2023 | An Empirical Study of Coding Style Compliance on Stack Overflow. Qing Mi, Haotian Bai, Xiaozhou Wang, Wenrui Liu, Xingyue Song |
| 2023 | An Optimal Spacing Approach for Sampling Small-sized Datasets. Samuel Abedu, Solomon Mensah, Frederick Boafo, Eva Bushel, Elizabeth Akuafum |
| 2023 | An intelligent question answering system based on RoBERTa-WWM under home appliance knowledge graph (S). Xiaoyan Gao, Ji Chen, Xiangqian Ding, Shuo Shi, Junhua Jia, Xiaowei Xin |
| 2023 | Anaphora Ambiguity Detection Method Based on Cross-domain Pronoun Substitution (S). Fengyong Peng, Xi Wu, Yongxin Zhao, Yongjian Li |
| 2023 | Applications of Machine Learning in Requirements Traceability: A Systematic Mapping Study (S). Xingfu Li, Bangchao Wang, Hongyan Wan, Yang Deng, Zihan Wang |
| 2023 | Applying Reinforcement Learning for Automated Testing of Mobile Application Focusing on State Definition, Reward, and Learning Method. Keita Murase, Shingo Takada |
| 2023 | Applying Symbolic Execution to Semantic Code Clone Detection (S). Kazusa Takemoto, Shingo Takada |
| 2023 | Aspect-level Sentiment Analysis Based on Convolutional Network with Dependency Tree. Lei Mao, Jianxia Chen, Shi Dong, Liang Xiao, Haoying Si, Xinyun Wu |
| 2023 | Assistance in the management of rule sets for rule-based expert systems (S). Magali Legast, Axel Legay |
| 2023 | Assuring Domain Software Quality through Workflow Testing and Specification. Melody L. Hammel, Lan Lin |
| 2023 | Automatic Diagnosis of Quantum Software Bug Fix Motifs. Krishn Vishwas Kher, Ishan Joshi, Bharat Chandra Mukkavalli, Lei Zhang, M. V. Panduranga Rao |
| 2023 | Automatic Discovery of Controversial Legal Judgments by an Entropy-Based Measurement (S). Jing Zhou, Shan Leng, Fang Wang, Hansheng Wang |
| 2023 | BDC-FR: Faster R-CNN with Balanced Domain Classifier for Cross-Domain Object Detection (S). Shouhong Wan, Rui Wang, Peiquan Jin, Xuebin Yang |
| 2023 | BDC: Using BERT and Deep Clustering to Improve Chinese Proper Noun Recognition. Yuanchi Ma, Hui He, Zhendong Niu |
| 2023 | BOP: A Bitset-based Optimization Paradigm for Content-based Event Matching Algorithms (S). Wei Liang, Wanghua Shi, Zhengyu Liao, Shiyou Qian, Zhonglong Zheng, Jian Cao, Guangtao Xue |
| 2023 | Bindox: An Efficient and Secure Cross-System IPC Mechanism for Multi-Platform Containers. Yuxin Xiang, Bing Deng, Hongyu Zhang, Randy Xu, Marc Mao, Yun Wang, Zhengwei Qi |
| 2023 | Blockchain-based Food Traceability System for Apulian Marketplace: Enhancing Transparency and Accountability in the Food Supply Chain (S). Marco Fiore, Marina Mongiello, Giovanni Tricarico, Francesco Bozzo, Cinzia Montemurro, Alessandro Petrontino, Clemente Giambattista, Giorgio Mercuri |
| 2023 | Branchy-TEE: Deep Learning Security Inference Acceleration Using Trusted Execution Environment. Yulong Wang, Kai Deng, Fanzhi Meng, Zhi Chen, Mingyong Yin, Run Yang |
| 2023 | CAPS: An Efficient Whole-Program Critical Paths Search Framework for Large-Scale Software. Peiyang Li, Zixin Liu, Yuening Su, Hao Wang, Bo Jiang |
| 2023 | CCGRA: Smart Contract Code Comment Generation with Retrieval-enhanced Approach. Zhenhua Zhang, Shizhan Chen, Guodong Fan, Guang Yang, Zhiyong Feng |
| 2023 | CRCC: Collaborative Relation Context Consistency on the Knowledge Graph for Recommender Systems (S). Li-e Wang, Huachang Zeng, Shenghan Li, Xianxian Li, Shengda Zhuo, Jiahua Xie, Bin Qu, Zhigang Sun, Tianran Liu |
| 2023 | Code Clone Detection via Software Visualization Representation Learning. Shaojian Qiu, Shaosheng Wang, Yujun Liang, Wenchao Jiang, Fanlong Zhang |
| 2023 | Combining Structure Embedding and Text Semantics for Efficient Knowledge Graph Completion. Wen Sun, Yifan Li, Junfeng Yao, Qingqiang Wu, Kunhong Liu |
| 2023 | Construction Site Fence Recognition Method Based on Multi-Scale Attention Fusion ENet Segmentation Network (S). Xing Zhang, Tinglong Tang, Yirong Wu, Tingwei Quan |
| 2023 | Context, Content, Consent - How to Design User-Centered Privacy Explanations (S). Wasja Brunotte, Jakob Droste, Kurt Schneider |
| 2023 | Contribution-based Test Case Reduction Strategy for Mutation-based Fault Localization (S). Haifeng Wang, Kun Yang, Xiangnan Zhao, Yuchen Cui, Weiwei Wang |
| 2023 | Convolution Neural Network Based Patent Infringement Detection Method. Senjun Pei, Weidong Liu |
| 2023 | DDCL: A Dual Decision-making Continuous Reinforcement Learning Method Based on Sim2Real. Wenwen Xiao, Xinzhi Wang, Xiangfeng Luo, Shaorong Xie |
| 2023 | DGNN: Dynamic Graph Neural Networks for Anomaly Detection in Multivariate Time Series. Bowen Chen |
| 2023 | DNN Inference Task Offloading Based on Distributed Soft Actor-Critic in Mobile Edge Computing. Wenxiu Xu, Ningjiang Chen, Huan Tu |
| 2023 | DeepMultiple: A Deep Learning Model for RFID-based Multi-object Activity Recognition. Shunwen Shen, Lvqing Yang, Sien Chen, Wensheng Dong, Bo Yu, Qingkai Wang |
| 2023 | DeepRank: Test Case Prioritization for Deep Neural Networks. Wei Li, Zhiyi Zhang, Yifan Jian, Chen Liu, Zhiqiu Huang |
| 2023 | Detect Stack Overflow Bugs in Rust via Improved Fuzzing Technique. Zhiyong Ren, Hui Xu |
| 2023 | Detecting Design Patterns As Described By An Explicit Specification (S). Ed van Doorn, Sylvia Stuurman |
| 2023 | Dispatching and Scheduling Dependent Tasks Based on Multi-agent Deep Reinforcement Learning. Shuaishuai Feng, Xi Wu, Yongxin Zhao, Yongjian Li |
| 2023 | Dissecting Scale-Out Applications Performance on Diverse TLB Designs (S). Tianmai Deng, Yixiao Xu, Chi Zhang, Zhengwei Qi |
| 2023 | EasyPip: Detect and Fix Dependency Problems in Python Dependency Declaration Files. Shuo Li, Jie Liu, Haoxiang Tian, Shuai Wang, Wei Chen, Liangyi Kang, Dan Ye |
| 2023 | Enhanced BERT with Graph and Topic Information for Short Text Classification (S). Tong Zhang, Ailing Tang, Rong Yan |
| 2023 | Expansion Mechanism for Runtime Verification of Self-adaptive Systems. Masaya Fujimoto, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya |
| 2023 | FOODIE: A Data-centric Sifting Framework for Social Media Analytics. Dolly Agarwal, Abdullah Al Imran, Kasun S. Perera |
| 2023 | Fake News Detection with Context Awareness of the Publisher. Xingchen Ding, Chong Teng, Donghong Ji |
| 2023 | FeDeFo: A Personalized Federated Deep Forest Framework for Alzheimer's Disease Diagnosis. Chen Qian, Hui Xiong, Jiyun Li |
| 2023 | Few-Shot Link Prediction using Variational Heterogeneous Attention Networks. Xi Tao, Hao Wang, Xiangfeng Luo, Pinpin Zhu |
| 2023 | Few-Shot Object Detection via Instance-wise and Prototypical Contrastive Learning. Qiaoning Lei, Yinsai Guo, Liyan Ma, Xiangfeng Luo |
| 2023 | Fine-Grained Source Code Vulnerability Detection via Graph Neural Networks (S). Jingjing Wang, Minhuan Huang, Yuanping Nie, Xiaohui Kuang, Xiang Li, Wenjing Zhong |
| 2023 | Formal Specification and Verification of an Autonomous Vehicle Control System by the OTS/CafeOBJ method (S). Yifan Wang, Masaki Nakamura, Kazutoshi Sakakibara, Yuki Okura |
| 2023 | Formalization and Verification of Data Auction Mechanism Based on Smart Contract Using CSP. Yingjia Du, Yuan Fei, Sini Chen, Huibiao Zhu |
| 2023 | Fortran Code Refactoring Based on MapReduce Programming Model. Junfeng Zhao, Wenhui Gai, Han Wu |
| 2023 | GAT-Team: A Team Recommendation Model for Open-Source Software Projects. Qing Qi, Jian Cao |
| 2023 | GSAGE2defect: An Improved Approach to Software Defect Prediction based on Inductive Graph Neural Network. Ju Ma, Yiyang Sun, Peng He, Zhang-Fan Zeng |
| 2023 | GraphPLBART: Code Summarization Based on Graph Embedding and Pre-Trained Model. Jie Li, Lixuan Li, Hao Zhu, Xiaofang Zhang |
| 2023 | HGAPT: Heterogeneous Graph Augmented Prompt Tuning for Low-Resource Fake News Detection. Xingchen Ding, Chong Teng, Donghong Ji, Fei Li |
| 2023 | HaeNAS: Hardware-Aware Efficient Neural Architecture Search via Zero-Cost Proxy. Yaodanjun Ren, Chen Chen, Zhengwei Qi |
| 2023 | Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification. Guang Yang, Tiancheng Jin, Liang Dou |
| 2023 | Heterogeneous Multi-Agent Communication Learning via Graph Information Maximization. Wei Du, Shifei Ding |
| 2023 | Identifying Influential Spreaders in Complex Networks Using Neighborhood Network Structure. Ziyi Zhang, Rong Yan, Wei Yuan |
| 2023 | Identifying Risks and Risk Mitigation Strategies for Collaborative Systems during Requirements Engineering: A Goal-Oriented Approach (S). Kirthy Kolluri, Tom Hill, Lawrence Chung |
| 2023 | Inclusive Gamification: An Exploratory Study in Software Development Enterprises (S). Fayrouz Elsalmy, Nada Sherief, Walid M. Abdelmoez |
| 2023 | Interactive Visualization of Temporal Brain Connectivity Data based-on Frequent Feature Mining (S). Guangwei Zhang, Ming Jing, Yunjing Liu, Li Zhang, Anming Dong, Jiguo Yu |
| 2023 | Just-in-Time Defect Severity Prediction (S). Ran Mo, Yushuo Wang, Yao Zhang, Zengyang Li |
| 2023 | KLAPrompt: Infusing Semantic Knowledge into Pre-trained Language Models by Long-answer Prompt Learning. Zuotong Xie, Kai Ouyang, Xiangjin Xie, Hai-Tao Zheng, Wenqiang Liu, Dongxiao Huang, Bei Wu |
| 2023 | L*-Based Learning of Probabilistic Timed Automata with One Clock (S). Rong Wu |
| 2023 | LMGFuse: Language Models and Graph reasoning Fuse deeply for question answering. Aoxing Wang, Pengfei Duan, Yongbing Li, Wenyan Hu, Shengwu Xiong |
| 2023 | LTLf Satisfiability Checking via Formula Progression (S). Tong Niu, Yicong Xu, Shengping Xiao, Lili Xiao, Yanhong Huang, Jianwen Li |
| 2023 | Learning Event Logic Graph Knowledge for Credit Risk Forecast. Yifan Wang, Jibin Wang, Jing Shang, Zhuo Chen, Xuelian Ding, Heyuan Wang |
| 2023 | MB-DP: A Multi-behavior Recommendation Model Integrating Dynamic Preferences. Cairong Yan, Xiaopeng Guan, Haixia Han, Zhaohui Zhang |
| 2023 | MBR-MDA: Multi-person Behavior Recognition Method Based on Multi Descriptors Aggregations. Yang Luo, Rongheng Lin |
| 2023 | Mining the Relationship between Object-Relational Mapping Performance Anti-patterns and Code Clones. Zeshan Xu, Jie Zhu, Li Yang, Chun Zuo |
| 2023 | Modeling and Verification of Autonomous Driving Systems under Stochastic Spatio-Temporal Constraints. Mengyuan Wang, Tengfei Li, Jing Liu, Hui Dou, Hongtao Chen, John Zhang, Lipeng Zhang |
| 2023 | Multi-Domain Feature Representation, Multi-Dimensional Feature Interaction for Person-Job Fit. Bin Li, Jianwen Ding, Zhennan Chen, Hanpeng Jiang, Fan Lin |
| 2023 | Multi-source Machine Reading Comprehension with Meta-Learning and Adaptive Adversarial Training. Zhe Wen, Yatao Qi, Huan Liu, Zheng Lin, Weiping Wang |
| 2023 | No-Reference Point Cloud Quality Assessment via Weighted Patch Quality Prediction. Jun Cheng, Honglei Su, Jari Korhonen |
| 2023 | Object-Level Contrast Learning for 3D Sparse Object Detection in Ocean Scene. Yuheng He, Wenbin Yang, Xiangfeng Luo, Liyan Ma, Shaorong Xie |
| 2023 | PSRL: A New Method for Real-Time Task Placement and Scheduling Using Reinforcement Learning. Bakhta Haouari, Rania Mzid, Olfa Mosbahi |
| 2023 | Practices and Challenges of Using GitHub Copilot: An Empirical Study. Beiqi Zhang, Peng Liang, Xiyu Zhou, Aakash Ahmad, Muhammad Waseem |
| 2023 | Quantum Software Models: Quantum Modules Tomography and Recovery Theorem. Iaakov Exman, Ariel Zvulunov |
| 2023 | Real-time Estimation Approach to Scrum Projects Effort: Task Point and Individual Reliability (S). Yu Guo, Jun Guo, Mohan Shi, Aixuan Dong |
| 2023 | Reinforced Multi-modal Circulant Fusion based Transformers for Rumor Detection (S). Xingang Wang, Xiaomin Li, Xiaoyu Liu |
| 2023 | Related Questions Detection Model in Stack Overflow based on Semantic Matching. Shizhao Huang, Yimin Wu, Jinwei Lu, Chao Deng |
| 2023 | Research on Directed Grey-box Fuzzing Technology Based on Target (S). Liang Sun, Peng Wu, Shaoxian Shu |
| 2023 | SARNet: A Self-Attention Embedded Residual Network for Multiclass Classification of Chronic Wounds (S). Chen Qian, Boyin Yang, Jiyun Li |
| 2023 | SAWD: Structural-Aware Webshell Detection System with Control Flow Graph. Junmin Zhu, Yizhao Yao, Xianwen Deng, Yaoguang Yong, Yanhao Wang, Libo Chen, Zhi Xue, Ruijie Zhao |
| 2023 | SLPKT: A Novel Simulated Learning Process Model for Knowledge Tracing. Jingxia Zeng, Mianfan Chen, Jianing Liu, Yuncheng Jiang |
| 2023 | SWS-NET: An Image Segmentation Framework For Chronic Wounds Based On Self-Supervised Learning. Jiyun Li, Sheng Yang, Qian Chen |
| 2023 | Short Review of Intention Mining in Social Crisis Management through Automatic Technologies. Xinzhi Wang, Mengyue Li, Yige Yao, Zhennan Li, Yi Liu, Hui Zhang |
| 2023 | Small Educational Steps Towards Improving the Status of Women in Software Engineering. Pankaj Kamthan, Nazlie Shahmir |
| 2023 | Smart Contract Vulnerability Detection Based on Clustering Opcode Instructions. Xiguo Gu, Huiwen Yang, Shifan Liu, Zhanqi Cui |
| 2023 | Smart Monitoring for Safety-Assurance in Autonomous Driving (S). Georg Stettinger, Franz Wotawa |
| 2023 | Software Defect Prediction via Positional Hierarchical Attention Network (S). Xinyan Yi, Hao Xu, Lu Lu, Quanyi Zou, Zhanyu Yang |
| 2023 | Survey on Data Ingestion for AutoML (S). Gabriel Mac'Hamilton Renaux Alves, Alexandre Magno Andrade Maciel |
| 2023 | Symbolic Model Checking Quantum Circuits in Maude. Canh Minh Do, Kazuhiro Ogata |
| 2023 | The 35th International Conference on Software Engineering and Knowledge Engineering, SEKE 2023, KSIR Virtual Conference Center, USA, July 1-10, 2023. Shi-Kuo Chang |
| 2023 | Token-level Input Grammar Synthesis (P). Yunlai Luo |
| 2023 | Topic and Speaker-aware Hierarchical Encoder-Decoder Model for Dialogue Generation. Qitao Hu, Xiao Wei |
| 2023 | Towards Extreme Multi-label Text Classification Through Group-wise Label Ranking. Jie Xiong, Huiyuan Li, Qiyuan Duan, Qihan Du |
| 2023 | Towards generating contextualised fault scenarios for reliability risk analysis of cyber-physical systems (P). Lufeng Wei, Zhi Li, Yuansong Qin |
| 2023 | Transient Data Caching Based on Maximum Entropy Actor-Critic in Internet-of-Things Networks. Yu Zhang, Ningjiang Chen, Siyu Yu |
| 2023 | Understanding the Pre-Contract Process of Small Software Projects. Anelis Pereira Vale, Daniel Perovich, Sergio F. Ochoa |
| 2023 | Using Blockchain to Preserve Chain of Custody: Cloud Forensics Analysis (S). Georg Grabner, Ali Ahmed, Nilufar Baghaei |
| 2023 | Using Z3 for Formal Modeling and Verification of FNN Global Robustness (S). Yihao Zhang, Zeming Wei, Xiyue Zhang, Meng Sun |
| 2023 | Variational Autoencoder with Stochastic Masks to Solve Exposure Bias in Recommendation (S). Yingshuai Kou, Neng Gao, Yifei Zhang |
| 2023 | Widget Hierarchy Graph Guided Crash Reproduction Method for Android Applications (S). Gaoyi Lin, Zhihua Zhang, Zhanqi Cui |
| 2023 | Will you use software development support using biosignals? A survey from software developers. Ryo Soga, Hideyuki Kanuka, Takatomi Kubo, Takashi Ishio, Kenichi Matsumoto |
| 2023 | YOLOv7-marine: An Improved YOLOv7 Model for Object Detection in Marine Environments (S). Puhui Qu, Keyu Chen, En Cheng |
| 2023 | mTrader: A Multi-Scale Signal Optimization Deep Reinforcement Learning Framework for Financial Trading (S). Zhennan Chen, Zhicheng Zhang, Pengfei Li, Lingyue Wei, Shibo Feng, Fan Lin |