| 2025 | 32nd Asia-Pacific Software Engineering Conference, APSEC 2025, Macau, China, December 2-5, 2025 |
| 2025 | A Block-Based Educational Tool for Novice Understanding of State Machine Representation. Nichika Takasu, Shinpei Ogata, Kozo Okano, Erina Makihara |
| 2025 | A Catalog of Participatory Reuse Challenges, Solutions, and Lessons Learned. Xingru Chen, Muhammad Usman, Deepika Badampudi |
| 2025 | A Comparative Study Towards Designing a Hybrid Architecture of Microservices and LLM-based Multi-Agent Systems. Peyman Yazdanian, Yan Liu, Zheng Li |
| 2025 | A First Look at Privacy Risks of Android Task-executable Voice Assistant Applications. Shidong Pan, Yikai Ge, Xiaoyu Sun |
| 2025 | A Hierarchical Hybrid-Intelligence Architecture with Consensus, Debate, and Reflection for High-Fidelity NL-to-PPTL Conversion. Tianchi Zhang, Jinhui Lyu, Yong Cai |
| 2025 | A Multi-Model Hybrid Framework Leveraging Query Expansion without Fine-Tuning for Zero-Shot Cross-Domain Code Search. Gang Hu, Jiayao Jin, Fan Su, Linhui Geng, Fei Yang, Min Peng |
| 2025 | A Packing-Insensitive Detection Method for Android Malware Based on Image Representation. Siyuan Ma, Shihao Zhu, Long Zhang, Yan Cai |
| 2025 | A Soft Prompt-Enhanced Device Knowledge Extraction Method for Embedded System Requirements Elicitation. Shengxin Zhao, Chunhui Wang, Zhiguo Liu, Tong Li, Ye Zhai |
| 2025 | A Software Architecture Resilience Assessment Method via Dynamic Bayesian Networks. Hao Chen, Bixin Li, Chunguang Zhang, Zixuan Liu |
| 2025 | A Systematic Mapping Study on Risks and Vulnerabilities in Software Containers. Maha Sroor, Teerath Das, Rahul Mohanani, Tommi Mikkonen |
| 2025 | AILinkPreviewer: Enhancing Code Reviews with LLM-Powered Link Previews. Panya Trakoolgerntong, Tao Xiao, Masanari Kondo, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Pattaraporn Sangaroonsilp, Yasutaka Kamei |
| 2025 | AgentTCP: A Collaborative Multi-Agent Framework for Change-Aware Test Case Prioritization. Junyu Chen, Xiuhua Li, Jinping Wang, Huan Xie, Chunyan Liu, Zhenyu Wu, Yan Lei |
| 2025 | An Empirical Analysis of ESLint Information Components and Their Interactions in LLM-based Program Repair. ShinHyuck Kang, Jinseok Heo, Eunseok Lee |
| 2025 | An Empirical Study of Reinforcement Learning-based Class Integration Test Order Generation. Jiayi Wang, Shuxiang Zheng, Miao Zhang, Yan Xiao, Peihong Chen, Xiaoxing Yang |
| 2025 | An empirical comparison of data transformation techniques for clustering-based unsupervised software defect prediction. Zhengxiang Chen, Zhiqiang Li, Hongyu Zhang, Jie Ren, Feng Tian |
| 2025 | AutoRCA: A Graph Sequence-based Automatic Root Cause Analysis Method for Microservice Systems through Multimodal Data. Ying Zhou, Yingying Shen, Bixin Li |
| 2025 | Automating Requirements Modelling with LLMs: An Iterative Contrastive Optimisation Approach. Chenxi Lv, Shmuel S. Tyszberowicz, Zhiming Liu, Bo Liu |
| 2025 | BDafny: A Formal Execution and Verification Framework of BPMN 2.0 in Dafny. Ziqing Su, Sini Chen, Ran Li, Huibiao Zhu, Jiapeng Wang |
| 2025 | BEGA: A Binary Code Embedding Method Based on Gravity-Model Augmentation Graph Contrastive Learning. Zhenglin Li, Dongqi Wang, Shuyue Zhang, Ruiguo Hu, Dongming Chen |
| 2025 | BiFuzz: A Two-Stage Fuzzing Tool for Open-World Video Games. Yusaku Kato, Norihiro Yoshida, Erina Makihara, Katsuro Inoue |
| 2025 | BlockAlign: Fair Performance Testing for Blockchains based on Configuration Alignment. Jing Shi, Chenglin Xie, Jianbo Gao, Peilun Li, Guoli Yang, Xiaoying Bai |
| 2025 | Breaking the Curse of High-Dimensionality: A Transformer-Based Approach to Software Configuration Performance Prediction. ZhengYue Pan, Mingjie Tu, Shijie Li, Dandan Wang, Jie Chen |
| 2025 | CAMUS: Context-Aware Neural Mutation Selection. Mingda Chen, Bo Wang, Youfang Lin, Jie M. Zhang |
| 2025 | CIMAS: A Multilingual Semantic-Driven Model for Code Idiom Mining, Abstraction and Synthesis. WenXin Yao |
| 2025 | CSMS: Boosting Class Code Summarization via Transformer Refinement and Method Summary Fusion. Feiqiao Mao, Xingyang Du, Shaocheng Feng, Jiafeng Guo, Yifan Bai |
| 2025 | Chain of Command: Context-Aware Android Malware Detection via Permission-to-API Call Chains and Graph Representation Learning. Zhichao Shi, Qiang Han, Zihao Zhang |
| 2025 | Chart2Code-MoLA: Efficient Multi-Modal Code Generation via Adaptive Expert Routing. Yifei Wang, Jacky Keung, Zhenyu Mao, Jingyu Zhang, Yuchen Cao |
| 2025 | ChatNRC: A Non-functional Requirement Classification Framework Based on a Generative and Discriminative Mechanism. Yuman Qin, Rong Peng |
| 2025 | Cobweb: Enhanced Generation Diversity for Black-box Fairness Testing. Yingqian Guo, Wentian Zhao, Tian Song |
| 2025 | Compressing Cell Execution Logs Embedded within Jupyter Notebook Files. Tomoki Nakamaru |
| 2025 | Conanj: Confidential Data Analysis for Confidential Computing of Java Programs. Xinyuan Miao, Yuting Chen, Ziyi Lin |
| 2025 | Constructing and Evaluating Domain-Specific Synthetic QA Datasets for Airborne Software Engineering: An LLM-Based Framework in Practice. Xiyue Ruan, Zheng Xu, Yifan Xu, Yunduo Wang, Lindong Wang, Minzhe Li, Ning Ge |
| 2025 | Cross-Project Defect Prediction Based on Feature Fusion and Local Domain Adaptation. Xianglu Zhou, Xiaoyan Zhu, Yu Wang, Jiayin Wang, Xin Lai |
| 2025 | Detecting Data Contamination in Code Generation Benchmarks via DiffMIA. Karin Yamashita |
| 2025 | Developing a Japanese-Localization Code Generation Benchmark for LLMs. Haruka Tsuchida, Yuha Nishigata, Miyu Sato, Waka Ito, Kimio Kuramitsu |
| 2025 | Dialogue Framework for Bug Issue Types Classification in Deep Learning-oriented Projects Based on Large Language Model. Yu Zhao, Zixuan Zeng, Zhiqiu Huang, Lina Gong |
| 2025 | Dynamic Variance Reduction-Based Reusable Test Case Generation for Image Classification. Changrong Huang, Shunhui Ji, Yu Shi, Pengcheng Zhang |
| 2025 | Edge4RE: A Novel Edge-Cloud Collaborative Framework for Privacy-Preserving Automated Requirements Documentation. Ben Cheng, Yi Wang, Oscar Wu, Thuong N. Hoang, Xiao Liu, Chetan Arora |
| 2025 | Empirical assessment of the perception of graphical threat model acceptability. Nathan Daniel Schiele, Olga Gadyatskaya |
| 2025 | Enhancing Commit Classification for Software Maintenance with Adversarial Learning. Xinrui Li, Xin Yin, Chao Ni |
| 2025 | Enhancing Diffusion-Driven Test Input Generation using Large Language Model. Joonwoo Lee, Seungho Kim, Scott Uk-Jin Lee |
| 2025 | Enhancing Requirement-to-Code Traceability via Chain-of-Thought Prompting in Large Language Models. Wenqing Wang, Ye Wang, Liping Zhao, Qiao Huang, Bo Jiang |
| 2025 | Explainable Software Engineering: From State of the Practice to State of the Art. Zheng Li, Maria Angela Ferrario, Ben Crossey, Austen Rainer |
| 2025 | Exploring Developer Departure in Open-Source Software Projects: Prevalence, Reason Taxonomy, and Influencing Factors. Yangyang Zhao, Bingzheng Zhao, Zanxiang He, Liming Nie |
| 2025 | Exposing and Defending Membership Leakage in Vulnerability Prediction Models. Yihan Liao, Jacky Keung, Xiaoxue Ma, Jingyu Zhang, Yicheng Sun |
| 2025 | Feature-based Transfer Learning in Cross-Project Defect Prediction: A Systematic Review. Yunpeng Wang, Dongcheng Li, Man Zhao, W. Eric Wong |
| 2025 | FixConsult: Leveraging External Defect Knowledge Driven Natural Language Suggestions Generation for Software Vulnerability Repair. Gang Hu, Linhui Geng, Jiayao Jin, Xiaoshu Sun, Min Peng |
| 2025 | Function-level Optimization Automatic Tuner for Numerical Programs. Xinni Liu, Xinpeng Li, Guangping Yu, Hengbiao Yu, Xin Yi, Chun Huang |
| 2025 | GATUNER:Genetic Algorithm Applied to Floating-Point Precision Tuning. Jianing Zhang, Jinchen Xu, Hongru Yang, Tao Zhang, Shuai Wang, Bei Zhou |
| 2025 | Galene: A Toolkit for Encapsulating Software Engineering Practices in Marine Science AI Applications. Shijia Li, Gaowei Zhang, Yi Wang |
| 2025 | HGTRTracer: Advancing Requirements-Code Traceability with LLM-Augmented Attribution Reasoning and Heterogeneous Graph Transformer. Huan Jin, Yingkai Yuan, Bangchao Wang, Hongyan Wan, Zhiyuan Zou |
| 2025 | How Do Developers Use ChatGPT for Software Test Generation? Usage Patterns, Satisfaction, and Code Adoption Analysis. Sicheng He, Wanwei Zhan, Jijun Wang, Junjie Dai, Haoxuan Chen, Cheng Tan, Fuyang Li |
| 2025 | How Far Have LLMs Come Toward Automated SATD Taxonomy Construction? Sota Nakashima, Yuta Ishimoto, Masanari Kondo, Tao Xiao, Yasutaka Kamei |
| 2025 | Human Ants are Beneficial for Team Performance. Iflaah Salman, Alvaro Francisco Gil, Juan Garbajosa, Peter A. Gloor |
| 2025 | IPSO: An Improved Particle Swarm Optimization-Based Method for Test Case Generation. Peng Wang, Shunhui Ji, Yikun Guo, Pengcheng Zhang |
| 2025 | ISA: Test Case Generation Based on Improved Simulated Annealing Algorithm. Shunhui Ji, Yu Shi, Ji Deng, Pengcheng Zhang |
| 2025 | It Only Gets Worse: Revisiting DL-Based Vulnerability Detectors from a Practical Perspective. Yunqian Wang, Xiaohong Li, Ruitao Feng, Yao Zhang, Yuekang Li, Zhiping Zhou |
| 2025 | KG-Code: A Knowledge Graph Guided Pre-Training Approach for Code Representation. Hanyu Zhang, Tomoji Kishi |
| 2025 | LLM-Based Semantic Modeling and Cooperative Evolutionary Fuzzing for Traffic Violation Scenario Generation. Yangyang Liu, Xinyu Li, Yan Xiao, Miao Zhang, Pengcheng Zhang |
| 2025 | LLMs are All You Need? Improving Fuzz Testing for MOJO with Large Language Models. Linghan Huang, Peizhou Zhao, Huaming Chen |
| 2025 | Latent Search-Based Boundary Aware Fairness Testing for Deployed Deep Models. Qingyuan Sun, Wentian Zhao, Tian Song |
| 2025 | Lightweight Attention-based Temporal Modeling of Key Facial Features for Driver Fatigue Detection in Intelligent Driver Monitoring Systems. Bailing Song, Lanhao Qin, Wenhua Hu, Jianwen Xiang, Rui Hao |
| 2025 | LogExpertSolver: A Multi-Agent Framework for Domain-Specialized Log Parsing. Chenxi Mao, Yuxin Su, Dan Li |
| 2025 | MAAP: A Self-Evolving Multi-Agent Automated Vulnerability Repair Framework for Python. Junfan Chen, Zhiyuan Fu, Ting Yang, Hongyu Sun, Ruidong Li, Yuqing Zhang |
| 2025 | MAJD: Intent-Aware Multi-Agent Framework for Jailbreak Defense. Jigang Xie, Zhengfan Wang, Junchao He, Wenjing Jiao, Pengfei Dang, Yadong Zhou, Wei Zhang, Ming Fan |
| 2025 | MDT-TM: Multi-Dimensional Metamorphic Testing of Terminology in Machine Translation. Zhifang Tan, Chuanqi Tao |
| 2025 | MICRORACER: Detecting Concurrency Bugs for Cloud Service Systems. Zhiling Deng, Juepeng Wang, Zhuangbin Chen |
| 2025 | MSPM: A Multi-Strategy Prompting Method for Goal-Oriented Modeling from User Stories. Yi Wang, Chunhui Wang, Ye Zhai, Tong Li, Zhiguo Liu |
| 2025 | MSWT: Multi-Scale Wavelet Transformer for Dynamic Feature-Based Student Program Error Identification. Lingzhong Yu, Qing Zhou, Subo Zhao, Siyuan Wang |
| 2025 | MTL-CR: A Multitask Learning Approach for Code Representation. Dongxu Yu, Feiqiao Mao, Xingyang Du, Yifan Bai |
| 2025 | MUATC: Multi-Agent Utilization to Augment Test Coverage. Tiecheng Ma, Sirui Liu, Wei Dong, Jiaxin Liu, Yating Zhang |
| 2025 | Mock Clones in the Wild: An Empirical Investigation Across Six Open-Source Projects. Gengwu Zhao, Lu Xiao, Hanbin Qin, Eman Abdullah AlOmar, Sunny Wong |
| 2025 | ModelVirtualizer: A Light-weight Virtualization Framework for On-Device Deep Learning Models. Junhua Zhu |
| 2025 | Multi-Agent Assisted Automatic Test Generation for Java JSON Libraries. Sinan Wang, Zhiyuan Zhong, Shaojin Wen, Yepang Liu |
| 2025 | Multi-Stage Generation of Rust Unit Tests with LLMs. Yongqian Chen, Junwei Zhang, Xing Hu, Xin Xia |
| 2025 | Multi-view Leaderboard: Towards Evaluating the Code Intelligence of LLMs From Multiple Views. Mengyuan Liu, Zexun Zhan, Cuiyun Gao, Yujia Chen, Guoai Xu, Chun Yong Chong, Shan Gao, Xin Xia |
| 2025 | Natural Language Explanation in Code Clone Detection using LLM-based Post Hoc Explainer. Teeradaj Racharak, Chaiyong Ragkhitwetsagul, Chayanee Junplong, Akara Supratak |
| 2025 | Optimizing Type Duplication in WebAssembly Module Splitting. Xifan Xu, Jun Ma, Chun Cao |
| 2025 | OrchestML: Continuous Integration Tool for Automated Machine Learning Service Compositions. Arogya Kharel, Xiangchi Song, In-Young Ko |
| 2025 | PATCHOULI: Fine-grained Security Patch Detection Engine. Binchang Li, Qingyuan Li, Cuiyun Gao, Qing Liao |
| 2025 | PerProb: Indirectly Evaluating Memorization in Large Language Models. Yihan Liao, Jacky Keung, Xiaoxue Ma, Jingyu Zhang, Yicheng Sun |
| 2025 | Practical Lossless Recompression of JPEG Images Using Transform Domain Prediction. Long Chen, Wenhua Hu, Rui Hao, Junwei Zhou, Jianwen Xiang |
| 2025 | Practices and Challenges of Using DeepSeek in SE: An Empirical Study. Chao Zhang |
| 2025 | PromptOps: Automated Tool for Testing Trustworthiness of LLMs. Chommakorn Sontesadisai, Chalisa Sae-Ngow, Jirateep Rudeerudchanawong, Lapatrada Dangsungnoen, Chaiyong Ragkhitwetsagul, Teeradaj Racharak, Thanwadee Sunetnanta |
| 2025 | PyReach: A Multi-Agent Framework for Vulnerability Reachability Analysis in Python. Yueqin Wang, Jingzheng Wu, Xiang Ling, Tianyue Luo, Xu Wang |
| 2025 | QEC-LLM: Training Query-focused Extractive Compression Model with LLM-guiding for Open Domain QA. Sijia Wang, Jy Duan, Xin Li, Haoguang Wen, Yizhuo Zhang, Chunming Liu, Zibo Yi |
| 2025 | RAG4Test: Retrieving GUI States for Multilingual Bug Report and Test Case Generation via LLMs. Zhiyao Wang, Xiujing Guo, Tatsuhiro Tsuchiya |
| 2025 | Reasoning Design and Code from Mockup Diagrams Using Vision-LMs. Nanami Moribe |
| 2025 | Recovering Variable Names in the Decompiled Code Based on Multi-Task Learning. Jiayi Li, Jingxuan Zhang, He Jiang, Jingjing Gu, Weiqin Zou |
| 2025 | Reliable Code Generation with Test Case Prioritization and Cognitive Validation. Lingyun Huang, Xin Yin, Xinrui Li, Chao Ni |
| 2025 | Resilient Auto-Scaling of Microservice Architectures with Efficient Resource Management. Hussain Ahmad, Christoph Treude, Markus Wagner, Claudia Szabo |
| 2025 | Retrieval-Augmented Code Generation of Low-Resource Programming Languages. Jianbo Lin, Yuan Zhang, Chuanyi Li, Wentao Zou, Jidong Ge, Bin Luo |
| 2025 | SMTPRT: Performance Regression Testing and Localization for SMT Solvers Across Multiple Logics. Ziyang Wang, Xiaohong Li, Lili Quan, Zhiping Zhou, Yao Zhang, Ruitao Feng |
| 2025 | SQLWizard: A Tool for Robust Text-to-SQL via Intelligent Selection and Fine-Grained Refinement. Keyu Liang, Chao Xiang, Zhifan Ye, Zhongxin Liu, Haoye Wang, Hao Guo, Youju Chen |
| 2025 | SVPrompt-MR: An LLM-Based Metamorphic Relation Identification Method with Self-Verification Mechanism. Jun Huang, Meng Li, Xiaohua Yang, Jie Liu, Shiyu Yan |
| 2025 | Seed-Adapted Cross-State Protocol Fuzzing. Dingcheng Li, Shihao Zhu, Yan Cai, Long Zhang |
| 2025 | SeedOrNot: A Classification-Based Framework for Efficient Seed Scheduling in Hybrid Fuzzing. Qian Yan, Minhuan Huang, Huayang Cao |
| 2025 | Smart Contract Vulnerability Detection Based on Residual Dilated Convolution with Multi-Head Attention. Ruoxin Bai, Meng Wang, Wanqing Liu, Liang Wang |
| 2025 | Software Defect Prediction Based on Temporal Hypergraph Neural Network. Peng He, Shuai Hu, Ju Ma, Haoqing Yang, Yifan Wang |
| 2025 | Software Supply Chain Security of Web3. Martin Monperrus |
| 2025 | Software Trustworthiness Assessment Based on Causal Evidence Graph. Weina Zhang, Dalin Zhang, Zhenguo Ding |
| 2025 | Testing Deep Learning Libraries with Semantic Equivalent API Patterns. Yan Song, Songqiang Chen, Haoyu Peng, Xiaoyuan Xie |
| 2025 | Towards Data-Driven Real-Time Performance Monitoring of Platform Ecosystems. Shady Hegazy, Muhammad Ammar, Christoph Elsner, Jan Bosch, Helena Holmström Olsson |
| 2025 | Towards Engineering Multi-Agent LLMs: A Protocol-Driven Approach. Zhenyu Mao, Jacky Keung, Fengji Zhang, Shuo Liu, Yifei Wang, Jialong Li |
| 2025 | Towards Function-Level Correctness Assessment of System Software with LLMs: A Case Study. Ming Zhong, Xin Sun |
| 2025 | Towards Lightweight LLM Software Solutions for InsurTech: A Framework for Scalable Question Answering Systems. Hi Kuen Yu, Jacky Keung, Yicheng Sun, Yihan Liao, Richard Suen |
| 2025 | Trace: Test Repair via Agent-based Context Extraction with LLMs. Jingxiang Tu, Bo Lin, Yihao Qin, Shangwen Wang, Liqian Chen, Xiaoguang Mao |
| 2025 | TraceWalker: Synthesizing Interactive Debugging Progresses via Dataflow and Control-flow Inference. Yunrui Pei, Yuk Kwan Wong, Chenyang Zhang, Hongshu Wang, Wenjie Zhang, Yun Lin |
| 2025 | TriGraSum: A Tri-level Graph-based Architecture for Source Code Summarization. Ruiguo Hu, Dongqi Wang, Mingzhao Xie, Zhenglin Li, Dongming Chen |
| 2025 | Understanding Commercial Low-code App Bugs. Hadia Syed, Zhixing He, Ye Tang, Jiqing Liu, Shengjie Chen, Lixin Sun, Hao Zhong |
| 2025 | Understanding Industrial Log Analysis: A Multi-Dataset Evaluation of Parsing and Anomaly Detection. Yicheng Sun, Jacky Keung, Yihan Liao, Hi Kuen Yu |
| 2025 | Unified Modelling and Consistency Verification of UML Multi-View Models Using Alloy. Yihui Guo, Shmuel S. Tyszberowicz, Zhiming Liu, Bo Liu |
| 2025 | Virtualization-based Penetration Testing Study for Detecting Accessibility Abuse Vulnerabilities in Banking Apps in East and Southeast Asia. Wei Minn, Phong Phan, Vikas Kumar Malviya, Benjamin Adolphi, Yan Naing Tun, Henning Benzon Treichl, Albert Ching, Lwin Khin Shar, David Lo |
| 2025 | What You See Is Not Always What You Get: Evaluating GPT's Comprehension of Source Code. Jiawen Wen, Bangshuo Zhu, Huaming Chen |
| 2025 | Where Is Self-admitted Code Generated by Large Language Models on GitHub? Xiao Yu, Lei Liu, Xing Hu, Jin Liu, Xin Xia |
| 2025 | XRepair - Unifying Retrieval, Repair, and Evaluation for Explainable LLM-Based Vulnerability Fixes. Alfred Asare Amoah, Yan Liu |
| 2025 | caSPESC2Vyper: Conformant and Automatic Generation from DeFi SPESC Legal Contract to Vyper Smart Contract. Yue Yu, Jiahui Wang, Bo Meng, Dejun Wang |