| 2023 | 34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, Florence, Italy, October 9-12, 2023 |
| 2023 | A Probabilistic Delta Debugging Approach for Abstract Syntax Trees. Guancheng Wang, Yiqian Wu, Qihao Zhu, Yingfei Xiong, Xin Zhang, Lu Zhang |
| 2023 | A Survey on What Developers Think About Testing. Philipp Straubinger, Gordon Fraser |
| 2023 | A Two-Stage Framework for Ambiguous Classification in Software Engineering. Jiaying Li, Yan Lei, Shanshan Li, Haifang Zhou, Yue Yu, Zhouyang Jia, Yingwei Ma, Teng Wang |
| 2023 | AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning. Chiming Duan, Tong Jia, Huaqian Cai, Ying Li, Gang Huang |
| 2023 | APIMind: API-driven Assessment of Runtime Description-to-permission Fidelity in Android Apps. Shaokun Zhang, Hanwen Lei, Yuanpeng Wang, Ding Li, Yao Guo, Xiangqun Chen |
| 2023 | An Approach to Characterize the Security of Open-Source Functions using LSP. José D'Abruzzo Pereira, Marco Vieira |
| 2023 | An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series. Dongwen Li, Shenglin Zhang, Yongqian Sun, Yang Guo, Zeyu Che, Shiqi Chen, Zhenyu Zhong, Minghan Liang, Minyi Shao, Mingjie Li, Shuyang Liu, Yuzhi Zhang, Dan Pei |
| 2023 | Assessing and Improving Dataset and Evaluation Methodology in Deep Learning for Code Clone Detection. Haiyang Li, Qing Gao, Shikun Zhang |
| 2023 | AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment. Zhaoyang Yu, Changhua Pei, Shenglin Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei |
| 2023 | Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan |
| 2023 | CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud. Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2023 | Can Code Representation Boost IR-Based Test Case Prioritization? Lin Yang, Junjie Chen, Hanmo You, Jiachen Han, Jiajun Jiang, Zhe Sun, Xinqi Lin, Fang Liang, Yuning Kang |
| 2023 | Characterizing Reliability of Three-version Traffic Sign Classifier System through Diversity Metrics. Qiang Wen, Fumio Machida |
| 2023 | Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions. Yafan Huang, Zhengyang He, Lingda Li, Guanpeng Li |
| 2023 | Contrastive Coincidental Correctness Representation Learning. Maojin Li, Yan Lei, Huan Xie, Jiaguo Wang, Chunyan Liu, Zhengxiong Deng |
| 2023 | ConvMHSA-SCVD: Enhancing Smart Contract Vulnerability Detection through a Knowledge-Driven and Data-Driven Framework. Mengliang Li, Xiaoxue Ren, Han Fu, Zhuo Li, Jianling Sun |
| 2023 | Crucible: Graphical Test Cases for Alloy Models. Adam G. Emerson, Allison Sullivan |
| 2023 | DeepUserLog: Deep Anomaly Detection on User Log Using Semantic Analysis and Key-Value Data. Wenjing Wang, Shida Lu, Jianhui Luo, Chengrong Wu |
| 2023 | Demand-driven Information Flow Analysis of WebView in Android Hybrid Apps. Abhishek Tiwari, Jyoti Prakash, Christian Hammer |
| 2023 | Detecting Interpreter Bugs via Filling Function Calls in Skeletal Program Enumeration. Xinmeng Xia, Yang Feng |
| 2023 | Do Mutations of Strongly Subsuming Second-Order Mutants Really Mask Each Other? João Paulo Diniz, Fischer Ferreira, Fabiano Cutigi Ferrari, Eduardo Figueiredo |
| 2023 | Dynamic Program Analysis with Flexible Instrumentation and Complex Event Processing. Chukri Soueidi, Yliès Falcone, Sylvain Hallé |
| 2023 | Effectively Finding ICC-related Bugs in Android Apps via Reinforcement Learning. Hui Guo, Ting Su, Xiaoqiang Liu, Siyi Gu, Jingling Sun |
| 2023 | Efficient Avoidance of Vulnerabilities in Auto-completed Smart Contract Code Using Vulnerability-constrained Decoding. André Storhaug, Jingyue Li, Tianyuan Hu |
| 2023 | Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems. Shenglin Zhang, Zhongjie Pan, Heng Liu, Pengxiang Jin, Yongqian Sun, Qianyu Ouyang, Jiaju Wang, Xueying Jia, Yuzhi Zhang, Hui Yang, Yongqiang Zou, Dan Pei |
| 2023 | Enabling Efficient Assertion Inference. Aayush Garg, Renzo Degiovanni, Facundo Molina, Maxime Cordy, Nazareno Aguirre, Mike Papadakis, Yves Le Traon |
| 2023 | EvLog: Identifying Anomalous Logs over Software Evolution. Yintong Huo, Cheryl Lee, Yuxin Su, Shiwen Shan, Jinyang Liu, Michael R. Lyu |
| 2023 | Evaluating Ethereum Reentrancy Detection Tools via Mutation Testing. Kaitai Zhu, Xingya Wang, Zhenyu Chen, Song Huang, Junhua Wu |
| 2023 | Evaluating and Enhancing the Robustness of Federated Learning System against Realistic Data Corruption. Chen Yang, Yuanchun Li, Hao Lu, Jinliang Yuan, Qibo Sun, Shangguang Wang, Mengwei Xu |
| 2023 | Evaluating the Effect of Common Annotation Faults on Object Detection Techniques. Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2023 | EvoScenario: Integrating Road Structures into Critical Scenario Generation for Autonomous Driving System Testing. Shuncheng Tang, Zhenya Zhang, Jixiang Zhou, Yuan Zhou, Yan-Fu Li, Yinxing Xue |
| 2023 | Fixing Robust Out-of-distribution Detection for Deep Neural Networks. Zhiyang Zhou, Jie Liu, Wensheng Dou, Shuo Li, Liangyi Kang, Muzi Qu, Dan Ye |
| 2023 | From Collision to Verdict: Responsibility Attribution for Autonomous Driving Systems Testing. Jixiang Zhou, Shuncheng Tang, Yan Guo, Yan-Fu Li, Yinxing Xue |
| 2023 | Fuzzing with Sequence Diversity Inference for Sequential Decision-making Model Testing. Kairui Wang, Yawen Wang, Junjie Wang, Qing Wang |
| 2023 | GraBit: A Sequential Model-Based Framework for Smart Contract Vulnerability Detection. Huijuan Zhu, Kaixuan Yang, Liangmin Wang, Zhicheng Xu, Victor S. Sheng |
| 2023 | Hidden-in-Wave: A Novel Idea to Camouflage AI-Synthesized Voices Based on Speaker-Irrelative Features. Xin Liu, Yuan Tan, Xuan Hai, Qingchen Yu, Qingguo Zhou |
| 2023 | How to Manage Change-Induced Incidents? Lessons from the Study of Incident Life Cycle. Yujin Zhao, Ling Jiang, Ye Tao, Songlin Zhang, Changlong Wu, Yifan Wu, Tong Jia, Ying Li, Zhonghai Wu |
| 2023 | IFCM: An improved Fuzzy C-means clustering method to handle Class Overlap on Aging-related Software Bug Prediction. Chen Zhang, Shuo Feng, Wenzhi Xie, Dongdong Zhao, Jianwen Xiang, Roberto Pietrantuono, Roberto Natella, Domenico Cotroneo |
| 2023 | Identifying Root-Cause Changes for User-Reported Incidents in Online Service Systems. Yujin Zhao, Ling Jiang, Ye Tao, Songlin Zhang, Changlong Wu, Tong Jia, Xiaosong Huang, Ying Li, Zhonghai Wu |
| 2023 | Intrusion detection without attack knowledge: generating out-of-distribution tabular data. Andrea Ceccarelli, Tommaso Zoppi |
| 2023 | LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning. Junyi Lu, Lei Yu, Xiaojia Li, Li Yang, Chun Zuo |
| 2023 | Lark: Verified Cross-Domain Access Control for Trusted Execution Environments. Fanlang Zeng, Zhuoruo Zhang, Rui Chang, Chenyang Yu, Zijun Zhang, Yongwang Zhao |
| 2023 | Log Parsing Evaluation in the Era of Modern Software Systems. Stefan Petrescu, Floris den Hengst, Alexandru Uta, Jan S. Rellermeyer |
| 2023 | LogRep: Log-based Anomaly Detection by Representing both Semantic and Numeric Information in Raw Messages. Xiaoda Xie, Songlei Jian, Chenlin Huang, Fengyuan Yu, Yunjia Deng |
| 2023 | Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu |
| 2023 | Method-Level Bug Severity Prediction using Source Code Metrics and LLMs. Ehsan Mashhadi, Hossein Ahmadvand, Hadi Hemmati |
| 2023 | Mind Your Enclave Pointers! Detecting Privacy Leaks for SGX Apps via Sparse Taint Analysis. Yang Chen, Jianfeng Jiang, Shoumeng Yan, Hui Xu |
| 2023 | Mind the Gap: The Difference Between Coverage and Mutation Score Can Guide Testing Efforts. Kush Jain, Goutamkumar Tulajappa Kalburgi, Claire Le Goues, Alex Groce |
| 2023 | Multi-Objective White-Box Test Input Selection for Deep Neural Network Model Enhancement. Hongjing Guo, Chuanqi Tao, Zhiqiu Huang |
| 2023 | OPTango: Multi-central Representation Learning against Innumerable Compiler Optimization for Binary Diffing. Hongna Geng, Ming Zhong, Peihua Zhang, Fang Lv, Xiaobing Feng |
| 2023 | On the Vulnerabilities of Text-to-SQL Models. Xutan Peng, Yipeng Zhang, Jingfeng Yang, Mark Stevenson |
| 2023 | Online Failure Prediction Through Fault Injection and Machine Learning: Methodology and Case Study. João R. Campos, Ernesto Costa, Marco Vieira |
| 2023 | PSCVFinder: A Prompt-Tuning Based Framework for Smart Contract Vulnerability Detection. Lei Yu, Junyi Lu, Xianglong Liu, Li Yang, Fengjun Zhang, Jiajia Ma |
| 2023 | Parameter-Efficient Log Anomaly Detection based on Pre-training model and LORA. Shiming He, Ying Lei, Ying Zhang, Kun Xie, Pradip Kumar Sharma |
| 2023 | Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services. Jinyang Liu, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu |
| 2023 | Precise Lazy Initialization for Programs with Complex Heap Inputs. Juan Manuel Copia, Facundo Molina, Nazareno Aguirre, Marcelo F. Frias, Alessandra Gorla, Pablo Ponzio |
| 2023 | ReSPlay: Improving Cross-Platform Record-and-Replay with GUI Sequence Matching. Shaokun Zhang, Linna Wu, Yuanchun Li, Ziqi Zhang, Hanwen Lei, Ding Li, Yao Guo, Xiangqun Chen |
| 2023 | Resilience Assessment of Large Language Models under Transient Hardware Faults. Udit Kumar Agarwal, Abraham Chan, Karthik Pattabiraman |
| 2023 | Risk-driven Online Testing and Test Case Diversity Analysis for ML-enabled Critical Systems. Jubril Gbolahan Adigun, Tom Philip Huck, Matteo Camilli, Michael Felderer |
| 2023 | SAPPX: Securing COTS Binaries with Automatic Program Partitioning for Intel SGX. Jiawei Huang, Hao Han, Fengyuan Xu, Bing Chen |
| 2023 | Search-based Test Case Selection for PLC Systems using Functional Block Diagram Programs. Miriam Ugarte Querejeta, Eunkyoung Jee, Lingjun Liu, Pablo Valle, Aitor Arrieta, Miren Illarramendi Rezabal |
| 2023 | ServerRCA: Root Cause Analysis for Server Failure using Operating System Logs. Jiahao Shi, Sihang Jiang, Bo Xu, Yanghua Xiao |
| 2023 | ShellGPT: Generative Pre-trained Transformer Model for Shell Language Understanding. Jie Shi, Sihang Jiang, Bo Xu, Jiaqing Liang, Yanghua Xiao, Wei Wang |
| 2023 | Towards the Implementation of a Mobile Application Testing Infrastructure at Von Braun Labs. Pedro Henrique Kuroishi, José Carlos Maldonado, Auri Marcelo Rizzo Vincenzi |
| 2023 | TraceStream: Anomalous Service Localization based on Trace Stream Clustering with Online Feedback. Tong Zhou, Chenxi Zhang, Xin Peng, Zhenghui Yan, Pairui Li, Jianming Liang, Haibing Zheng, Wujie Zheng, Yuetang Deng |
| 2023 | Using Transformer Models and Textual Analysis for Log Parsing. Vithor Gomes Ferreira Bertalan, Daniel Aloise |
| 2023 | Value Peripheral Register Values for Fuzzing MCU Firmware. Chunlin Wang, Hongliang Liang |
| 2023 | Why Do Deep Learning Projects Differ in Compatible Framework Versions? An Exploratory Study. Huashan Lei, Shuai Zhang, Jun Wang, Guanping Xiao, Yepang Liu, Yulei Sui |
| 2023 | fKPISelect: Fault-Injection Based Automated KPI Selection for Practical Multivariate Anomaly Detection. Xingjian Zhang, Yinqin Zhao, Chang Liu, Long Wang, Xin Yang, Yefei Hou, Zhongwen Lan, Xining Hu, Beibei Miao, Ming Yang, Xiangyi Jing, Sijie Li |
| 2023 | foREST: A Tree-based Black-box Fuzzing Approach for RESTful APIs. Jiaxian Lin, Tianyu Li, Yang Chen, Guangsheng Wei, Jiadong Lin, Sen Zhang, Hui Xu |