ISSRE A

54 papers

YearTitle / Authors
202435th IEEE International Symposium on Software Reliability Engineering, ISSRE 2024, Tsukuba, Japan, October 28-31, 2024
2024A Combinatorial Interaction Testing Method for Multi-Label Image Classifier.
Peng Wang, Shengyou Hu, Huayao Wu, Xintao Niu, Changhai Nie, Lin Chen
2024A Compositional Approach to Coordinated Software Rejuvenation of Component-Based Systems.
Leonardo Paroli, Tommaso Botarelli, Laura Carnevali, Enrico Vicario
2024A Comprehensive Study on the Impact of Vulnerable Dependencies on Open-Source Software.
Shree Hari Bittugondanahalli Indra Kumar, Lilia Rodrigues Sampaio, André Martin, Andrey Brito, Christof Fetzer
2024A Security Verification Framework for the LoRaWAN Protocol with Application in the Manufacturing Industry.
Wenting Dong, Huibiao Zhu, Sini Chen, Ning Ge
2024AI-Supported Eliminative Argumentation: Practical Experience Generating Defeaters to Increase Confidence in Assurance Cases.
Torin Viger, Logan Murphy, Simon Diemert, Claudio Menghi, Jeff Joyce, Alessio Di Sandro, Marsha Chechik
2024APIBeh: Learning Behavior Inclination of APIs for Malware Classification.
Lei Cui, Yiran Zhu, Junnan Yin, Zhiyu Hao, Wei Wang, Peng Liu, Ziqi Yang, Xiaochun Yun
2024An Empirical Investigation on Android App Testing Practices.
Tarek Mahmud, Meiru Che, Anne H. H. Ngu, Guowei Yang
2024An Empirical Study on the Distance Metric in Guiding Directed Grey-box Fuzzing.
Tingke Wen, Yuwei Li, Lu Zhang, Huimin Ma, Zulie Pan
2024Android's Cat-and-Mouse Game: Understanding Evasion Techniques against Dynamic Analysis.
Shuang Li, Rui Li, Shishuai Yang, Wenrui Diao
2024Applying Concept-Based Models for Enhanced Safety Argumentation.
João Paulo Costa de Araujo, Balahari Vignesh Balu, Eik Reichmann, Jessica Kelly, Stefan Kugele, Núria Mata, Lars Grunske
2024Aspis: Lightweight Neural Network Protection Against Soft Errors.
Anna Schmedding, Lishan Yang, Adwait Jog, Evgenia Smirni
2024Assessing the Performance of AI-Generated Code: A Case Study on GitHub Copilot.
Shuang Li, Yuntao Cheng, Jinfu Chen, Jifeng Xuan, Sen He, Weiyi Shang
2024Beyond the Horizon: Exploring Cross-Market Security Discrepancies in Parallel Android Apps.
Shishuai Yang, Guangdong Bai, Ruoyan Lin, Jialong Guo, Wenrui Diao
2024Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning.
Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2024Code Ownership: The Principles, Differences, and Their Associations with Software Quality.
Patanamon Thongtanunam, Chakkrit Tantithamthavorn
2024CovSBOM: Enhancing Software Bill of Materials with Integrated Code Coverage Analysis.
Yunze Zhao, Yuchen Zhang, Dan Chacko, Justin Cappos
2024DRLFailureMonitor: A Dynamic Failure Monitoring Approach for Deep Reinforcement Learning System.
Yi Cai, Xiaohui Wan, Zhihao Liu, Zheng Zheng
2024Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis.
Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu
2024Detecting Numerical Deviations in Deep Learning Models Introduced by the TVM Compiler.
Zichao Xia, Yuting Chen, Pengbo Nie, Zihan Wang
2024Detection Latencies of Anomaly Detectors - An Overlooked Perspective?
Tommaso Puccetti, Andrea Ceccarelli
2024Enhancing AI-based Generation of Software Exploits with Contextual Information.
Pietro Liguori, Cristina Improta, Roberto Natella, Bojan Cukic, Domenico Cotroneo
2024Enhancing Black-box Compiler Option Fuzzing with LLM through Command Feedback.
Taiyan Wang, Ruipeng Wang, Yu Chen, Lu Yu, Zulie Pan, Min Zhang, Huimin Ma, Jinghua Zheng
2024Exact Computation of Network Reliability with Sentential Decision Diagrams.
Delong Li, Jiayu Zeng, Liangda Fang, Chaonan Wang, Lin Cui, Quanlong Guan
2024Exploring Hierarchical Patterns for Alert Aggregation in Supercomputers.
Yuan Yuan, Tongqing Zhou, Xiuhong Tan, Yongqian Sun, Yuqi Li, Zhixing Li, Zhiping Cai, Tiejun Li
2024FaaSRCA: Full Lifecycle Root Cause Analysis for Serverless Applications.
Jin Huang, Pengfei Chen, Guangba Yu, Yilun Wang, Haiyu Huang, Zilong He
2024Feedback-Directed Cross-Layer Optimization of Cloud-Based Functional Actor Applications.
Andrea Cappelletti, Mark Grechanik
2024Fine-Tuning Pre-trained Model with Optimizable Prompt Learning for Code Vulnerability Detection.
Wei Chang, Chunyang Ye, Hui Zhou
2024Fix the Tests: Augmenting LLMs to Repair Test Cases with Static Collector and Neural Reranker.
Jun Liu, Jiwei Yan, Yuanyuan Xie, Jun Yan, Jian Zhang
2024GAS: Generating Fast & Accurate Surrogate Models for Simulations of Autonomous Vehicle Systems.
Keyur Joshi, Chiao Hsieh, Sayan Mitra, Sasa Misailovic
2024Hierarchy-Aware Regression Test Prioritization.
Hao Wang, Pu (Luke) Yi, Jeremias Parladorio, Wing Lam, Darko Marinov, Tao Xie
2024History-driven Compiler Fuzzing via Assembling and Scheduling Bug-triggering Code Segments.
Zhenye Fan, Guixin Ye, Tianmin Hu, Zhanyong Tang
2024KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems.
Wenwei Gu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, Michael R. Lyu
2024LLMeLog: An Approach for Anomaly Detection based on LLM-enriched Log Events.
Minghua He, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li, Gang Huang
2024LabelEase: A Semi-Automatic Tool for Efficient and Accurate Trace Labeling in Microservices.
Shenglin Zhang, Zeyu Che, Zhongjie Pan, Xiaohui Nie, Yongqian Sun, Lemeng Pan, Dan Pei
2024Large Language Models Can Provide Accurate and Interpretable Incident Triage.
Zexin Wang, Jianhui Li, Minghua Ma, Ze Li, Yu Kang, Chaoyun Zhang, Chetan Bansal, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Changhua Pei, Gaogang Xie
2024Learning Graph-based Patch Representations for Identifying and Assessing Silent Vulnerability Fixes.
Mei Han, Lulu Wang, Jianming Chang, Bixin Li, Chunguang Zhang
2024Leveraging RAG-Enhanced Large Language Model for Semi-Supervised Log Anomaly Detection.
Wanhao Zhang, Qianli Zhang, Enyu Yu, Yuxiang Ren, Yeqing Meng, Mingxi Qiu, Jilong Wang
2024LiScopeLens: An Open-Source License Incompatibility Analysis Tool Based on Scope Representation of License Terms.
Ziang Liu, Xin Liu, Yingli Zhang, Zihao Zhang, Song Li, Weina Niu, Qingguo Zhou, Rui Zhou, Xiaokang Zhou
2024LogCAE: An Approach for Log-based Anomaly Detection with Active Learning and Contrastive Learning.
Pei Xiao, Tong Jia, Chiming Duan, Huaqian Cai, Ying Li, Gang Huang
2024MDIplier: Protocol Format Recovery via Hierarchical Inference.
Kai Liang, Zhengxiong Luo, Yanyang Zhao, Wenlong Zhang, Ronghua Shi, Yu Jiang, Heyuan Shi, Chao Hu
2024Multi-level Fuzzing for Document File Formats with Intermediate Representations.
Yifan Wang, Jun Xu
2024Mutation-Based Integration Testing of Knowledge Graph Applications.
Tobias John, Einar Broch Johnsen, Eduard Kamburjan
2024REDLC: Learning-driven Reverse Engineering for Deep Learning Compilers.
Minghui Li, Yang Li, Hao Han, Xiaopeng Ke, Tongyu Wang, Fengyuan Xu, Liming Fang
2024Ratchet: Retrieval Augmented Transformer for Program Repair.
Jian Wang, Shangqing Liu, Xiaofei Xie, Jingkai Siow, Kui Liu, Yi Li
2024S2Vul: Vulnerability Analysis Based on Self-supervised Information Integration.
Shaojie Yang, Haoran Xu, Fangliang Xu, Yongjun Wang
2024Self-Evolutionary Group-wise Log Parsing Based on Large Language Model.
Changhua Pei, Zihan Liu, Jianhui Li, Erhan Zhang, Le Zhang, Haiming Zhang, Wei Chen, Dan Pei, Gaogang Xie
2024SparseRCA: Unsupervised Root Cause Analysis in Sparse Microservice Testing Traces.
Zhenhe Yao, Haowei Ye, Changhua Pei, Guang Cheng, Guangpei Wang, Zhiwei Liu, Hongwei Chen, Hang Cui, Zeyan Li, Jianhui Li, Gaogang Xie, Dan Pei
2024Testing Diverse Geographical Features of Autonomous Driving Systems.
Seongdeok Seo, Judy S. Lee, Mijung Kim
2024Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability.
Dong Huang, Tsz On Li, Xiaofei Xie, Heming Cui
2024TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models.
Haotian Si, Jianhui Li, Changhua Pei, Hang Cui, Jingwen Yang, Yongqian Sun, Shenglin Zhang, Jingjing Li, Haiming Zhang, Jing Han, Dan Pei, Gaogang Xie
2024Understanding Atomics and Memory Ordering Issues in Real-World Rust Software.
Cheng Wang, Tengfei Tu, Sujuan Qin, Guangjun Wu, Fei Gao, Mingchao Wan
2024Understanding and Detecting Privacy Leakage Vulnerabilities in Hyperledger Fabric Chaincodes.
Ziming Chen, Yue Li, Jianbo Gao, Jiashuo Zhang, Ke Wang, Jian-bin Hu, Zhi Guan, Zhong Chen
2024VCRLog: Variable Contents Relationship Perception for Log-based Anomaly Detection.
Jinyuan Wang, Tong Li, Runzi Zhang, Zifang Tang, Di Wu, Zhen Yang