| 2025 | 36th IEEE International Symposium on Software Reliability Engineering, ISSRE 2025, São Paulo, Brazil, October 21-24, 2025 Andrey Brito, Regina Lúcia de Oliveira Moraes, Yulei Sui, Catia Trubiani, Fernando Aires, Nahgmeh Ivaki |
| 2025 | A Cascaded Pipeline for Self-Directed, Model-Agnostic Unit Test Generation via LLMs. Chao Ni, Xiaoya Wang, Xin Yin, Liushan Chen, Guojun Ma |
| 2025 | ASASQL: Active Data Synthesis and Annotation for Efficient Natural Language SQL Generation in Cloud Systems. Ruiqin Zheng, Zhiyuan Wu, Shengbing Shi, Qiang Bai, Hao Li, Hui Yu, Weigang Wu |
| 2025 | AUVANA: An Efficient and Automatic Approach to Variable Rename Refactoring via Large Pre-trained Language Model. Shiqi Cheng, Chenjie Shen, Li Yang, Lei Yu, Fengjun Zhang, Chun Zuo |
| 2025 | AetherLog: Log-based Root Cause Analysis by Integrating Large Language Models with Knowledge Graphs. Tianyu Cui, Ruowei Fu, Changchang Liu, Yuhe Ji, Wenwei Gu, Shenglin Zhang, Yongqian Sun, Dan Pei |
| 2025 | An Empirical Study of Production Incidents in Generative AI Cloud Services. Haoran Yan, Yinfang Chen, Minghua Ma, Ming Wen, Shan Lu, Shenglin Zhang, Tianyin Xu, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Chaoyun Zhang, Dongmei Zhang |
| 2025 | Automatic Data Repair without Format Specifications. Zijian Luo, Lukas Kirschner, Ezekiel O. Soremekun, Rahul Gopinath |
| 2025 | Beyond Functional Correctness: An Empirical Evaluation of Large Language Models for Text-to-Code Generation. Rodrigo Pato Nogueira, Marco Vieira, João R. Campos |
| 2025 | Breaking Task Isolation: Enhancing Code Review Automation with Mixture-of-Experts Large Language Models. Jiayue Tang, Li Yang, Lei Yu, Junyi Lu, Zhirong Huang, Fengjun Zhang, Chun Zuo |
| 2025 | CSLParser: A Collaborative Framework Using Small and Large Language Models for Log Parsing. Weijie Hong, Yifan Wu, Lingzhe Zhang, Chiming Duan, Pei Xiao, Minghua He, Xixuan Yang, Ying Li |
| 2025 | ClusterRCA: An End-to-End Approach for Network Fault Localization and Classification for HPC System. Yongqian Sun, Xijie Pan, Xiao Xiong, Lei Tao, Jiaju Wang, Shenglin Zhang, Yuan Yuan, Yuqi Li, Kunlin Jian |
| 2025 | Code Generation of Smart Contracts with LLMs: A Case Study on Hyperledger Fabric. Luca Olivieri, David Beste, Luca Negrini, Lea Schönherr, Antonio Emanuele Cinà, Pietro Ferrara |
| 2025 | Condition Sequence Coverage Criterion and Automatic Test Case Generation for Testing-Based Formal Verification. Ai Liu, Yang Liu, Lei Rao, Shaoying Liu, Zhibin Yang, Zhiqiu Huang |
| 2025 | DLAFI: Software-Based Fault Injection for Permanent Faults in Deep Learning Accelerators. SeyedMani Sadati, Abraham Chan, Udit Kumar Agarwal, Karthik Pattabiraman |
| 2025 | DVSTdetector: Dual-View Spatio-Temporal Representation Learning for Intrusion Detection in Industrial Control System. Xuemin Zhang, Qianrong Zheng, Rui Hao, Zhe Xia, Junwei Zhou, Jianwen Xiang |
| 2025 | DeST: An Unsupervised Decoupled Spatio-Temporal Framework for Microservice Incident Management. Xiaohui Nie, Hang Cui, Changhua Pei, Haotian Si, Ke Xiang, Jingjing Li, Yanbiao Li, Gaogang Xie, Dan Pei |
| 2025 | Detecting Dependability Failures in Healthcare Scenarios via Digital Shadows. Bruno Guindani, Matteo Camilli, Livia Lestingi, Marcello Maria Bersani |
| 2025 | Detection and Analysis of Poisoned Image in Container Registry. Siyuan Pang, Yongshan Wang, Yepeng Yao, Zhengwei Jiang, Zijing Fan, Baoxu Liu |
| 2025 | Detection of Cross-Channel Invocation Risks in Hyperledger Fabric. Luca Olivieri |
| 2025 | Effective, Efficient, and Environmentally Friendly Out-of-Model-Scope Detection Methodology. Zhenyu Yang, Ettore Merlo, Clément Benesse, Lina Marsso |
| 2025 | Enhancing Privacy and Robustness in Federated Learning with Local Data Distribution Invariance and Byzantine-Resilient Aggregation. Bakary Dolo, Faiza Loukil, Khouloud Boukadi, Kavé Salamatian |
| 2025 | Enhancing Reliability Assurance for DNN against Numerical Defect with Large Language Models. Jinyu Liu, Jun Ai, Haoran Su, Tao Shi |
| 2025 | Exploiting the Availability-Continuity Trade-off in Imperfect Retraining of Machine Learning Systems. Zhengji Wang, Fumio Machida |
| 2025 | Exploring the generalizability of software vulnerability classes via replication and synthesis. Mohammad Jamil Ahmad, Katerina Goseva-Popstojanova |
| 2025 | Fuzzing for Detecting Access Policy Violations in REST APIs. Andrea Arcuri, Omur Sahin, Man Zhang |
| 2025 | Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity. Domenico Cotroneo, Cristina Improta, Pietro Liguori |
| 2025 | ISGraphVD: Precise Vulnerability Detection for IoT Supply Chains Based on Identifier Sensitive Graph. Yingli Zhang, Xin Liu, Ziang Liu, Song Li, Nan Li, Weina Niu, Rui Zhou, Qingguo Zhou |
| 2025 | Integrating GraphSAGE and Mamba for Self-Supervised Spatio-Temporal Fault Detection in Microservice Systems. Shenglin Zhang, Yingke Li, Jianjin Tang, Chenyu Zhao, Wenwei Gu, Yongqian Sun, Dan Pei |
| 2025 | LLM Assisted Dual-View Awareness Framework for Smart Contract Vulnerability Detection. Jianrong Wang, Yuru Yue, Dengcheng Hu, Qi Li, Jinghui Li, Wenyu Zhu |
| 2025 | LOFT: An LLM-Enhanced Multi-Objective Search Framework for Fault Injection Testing of Autonomous Driving Systems. Guangdong You, Shuncheng Tang, Jixiang Zhou, Hezhen Liu, Junfang Jiang, Yan-Fu Li, Yinxing Xue |
| 2025 | MALPRE: Malware Protocol Reverse Engineering through Code Slicing and Agentic Workflow. Yuyao Huang, Fei Kang, Hui Shu, Guoyu Huo |
| 2025 | MDPMorph: An MDP-Based Metamorphic Testing Framework for Deep Reinforcement Learning Agents. Jiapeng Li, Zheng Zheng, Yuning Xing, Daixu Ren, Steven Cho, Valerio Terragni |
| 2025 | No Vibe Without Comprehension: Measuring Code Understanding in Modern Coding Workflows Using Neurophysiological Signals. Ricardo Saraiva, João Durães, Paulo de Carvalho, Henrique Madeira, Haytham Hijazi |
| 2025 | Prepared for the Unknown: Adapting AIOps Capacity Forecasting Models to Data Changes. Lorena Poenaru-Olaru, Wouter van 't Hof, Adrian Stando, Arkadiusz P. Trawinski, Eileen Kapel, Jan S. Rellermeyer, Luis Cruz, Arie van Deursen |
| 2025 | Refactoring ≠ Bug-Inducing: Improving Defect Prediction with Code Change Tactics Analysis. Feifei Niu, Junqian Shao, Christoph Mayr-Dorn, Liguo Huang, Wesley K. G. Assunção, Chuanyi Li, Jidong Ge, Alexander Egyed |
| 2025 | Reliable Version Merging Based on Deep Semantic and logical Understanding of Critical Context. Mengdan Fan, Wei Zhang, Haiyan Zhao, Zhi Jin |
| 2025 | Robustness Assessment of the Open vSwitch Kernel Module. José Wilson Vieira Flauzino, Marco Vieira, Elias P. Duarte |
| 2025 | ShadowGuard: Cryptographic Shadow Stack Protection with XOR Obfuscation and HMAC Integrity. Sirine Ilahi, Adebayo Omotosho, Christian Hammer |
| 2025 | SimFuzz: Conflict-Aware Parallel Fuzzing via Incremental Path Similarity Clustering. Xuan Meng, Danjun Liu, Xu Zhou, Peihong Lin, Chenyifan Liu, Lei Zhou, Wei Xie, Baosheng Wang, Peng Wang |
| 2025 | SyzOrch: An Orchestration Framework for Resource-Aware and Composable Kernel Fuzzing. Lukai Xu, Baosheng Wang, Bo Yu, Boyu Chang, Binbin Zhao, Shouling Ji, Danjun Liu, Lei Zhou, Qiang Yang, Yaojia Yang |
| 2025 | Too Many Cooks: Assessing the Need for Multi-Source Data in Microservice Failure Diagnosis. Shenglin Zhang, Xiaoyu Feng, Runzhou Wang, Minghua Ma, Wenwei Gu, Yongqian Sun, Zedong Jia, Jinrui Sun, Dan Pei |
| 2025 | Towards the Assessment of Task-based Chatbots: From the TOFU-R Snapshot to the BRASATO Curated Dataset. Elena Masserini, Diego Clerissi, Daniela Micucci, João R. Campos, Leonardo Mariani |
| 2025 | Understanding Recommendation System Robustness Against Silent Data Corruption: An Empirical Study. Dongning Ma, Xun Jiao, Fan Fred Lin, Daniel Moore, Sriram Sankar |
| 2025 | Unleashing the Efficiency of Rust: An Empirical Study of Performance Bugs in Rust Projects. Chenhao Cui, Hui Xu |
| 2025 | What Challenges Do Developers Face When Using Verification-Aware Programming Languages? Francisco Oliveira, Alexandra Mendes, Carolina Carreira |
| 2025 | XAMT: Cross-Framework API Matching for Testing Deep Learning Libraries. Bin Duan, Ruican Dong, Naipeng Dong, Dan Dongseong Kim, Guowei Yang |
| 2025 | ZeroLog: Zero-Label Generalizable Cross-System Log-based Anomaly Detection. Xinlong Zhao, Tong Jia, Minghua He, Ying Li, Gang Huang |
| 2025 | bBench: A Comprehensive Performance Benchmark for Blockchain Applications. Fernando Richter Vidal, Naghmeh Ivaki, Nuno Laranjeiro |