| 2023 | 23rd IEEE International Conference on Software Quality, Reliability, and Security, QRS 2023, Chiang Mai, Thailand, October 22-26, 2023 |
| 2023 | A Case Study on the "Jungle" Search for Industry-Relevant Regression Testing. Maria Laura Brzezinski Meyer, Hélène Waeselynck, Fernand Cuesta |
| 2023 | A Framework based on Deep Neural Network for Ranking-oriented Software Defect Prediction. Jiapeng Dai, Xiaoxing Yang, Bingding Huang, Xiaofen Lu |
| 2023 | A study on the impact of pre-trained model on Just-In-Time defect prediction. Yuxiang Guo, Xiaopeng Gao, Zhenyu Zhang, Wing Kwong Chan, Bo Jiang |
| 2023 | Abstract Syntax Tree for Method Name Prediction: How Far Are We? Hanwei Qian, Wei Liu, Ziqi Ding, Weisong Sun, Chunrong Fang |
| 2023 | Adaptive Tracing and Fault Injection based Fault Diagnosis for Open Source Server Software. Wei Zhang, Yuxi Hu, Bolong Tan, Xiaohai Shi, Jianhui Jiang |
| 2023 | An Approach to Build and Verify Stable Neural Network Controllers for Cyber Physical Systems with Non-Linear Dynamics. Xudong He |
| 2023 | An Empirical Study to Identify Software Aging Indicators for Android OS. Yulei Chen, Yuge Nie, Beibei Yin, Zheng Zheng, Huayao Wu |
| 2023 | An Industrial Study on the Challenges and Effects of Diversity-Based Testing in Continuous Integration. Azeem Ahmad, Francisco Gomes de Oliveira Neto, Eduard Paul Enoiu, Kristian Sandahl, Ola Leifler |
| 2023 | AndrAS: Automated Attack Surface Extraction for Android Applications. Anh-Duy Tran, Koen Yskout, Wouter Joosen |
| 2023 | Anomaly Detectors for Self-Aware Edge and IoT Devices. Tommaso Zoppi, Giovanni Merlino, Andrea Ceccarelli, Antonio Puliafito, Andrea Bondavalli |
| 2023 | Aster: Encoding Data Augmentation Relations into Seed Test Suites for Robustness Assessment and Fuzzing of Data-Augmented Deep Learning Models. Haipeng Wang, Zhengyuan Wei, Qilin Zhou, Bo Jiang, Wing Kwong Chan |
| 2023 | Automatic Generation of Component Fault Trees from AADL Models for Design Failure Modes and Effects Analysis. Xiongpeng Hu, Jing Liu, Hui Dou, Hongtao Chen, Yuhong Zhang |
| 2023 | BDGSE: A Symbolic Execution Technique for High MC/DC. Huangli Cai, Zhiyi Zhang, Yifan Jian, Dan Li, Zhiqiu Huang |
| 2023 | BTM: Black-Box Testing for DNN Based on Meta-Learning. Zhuangyu Zhang, Zhiyi Zhang, Ziyuan Wang, Fang Chen, Zhiqiu Huang |
| 2023 | Blockchain Network Platform for IoT Data Integrity and Scalability. Chung Yup Kim, Bryan C. K. Ng, Jyoti Sahni, Normalia Samian, Winston K. G. Seah |
| 2023 | CGSA-RNN: Abnormal Network Traffic Detection Model Based on CycleGAN and Self-Attention Mechanism. Saihua Cai, Wenjun Zhao, Han Tang, Jinfu Chen, Wuhao Guo |
| 2023 | Cancelable Iris Biometrics Based on Transformation Network. Dongdong Zhao, Hucheng Liao, Songsong Liao, Huanhuan Li, Jianwen Xiang |
| 2023 | Commit Classification via Diff-Code GCN based on System Dependency Graph. Zaixing Zhang, Liang Liu, Jianming Chang, Lulu Wang, Li Liao |
| 2023 | DeepDiffer: Find Deep Learning Compiler Bugs via Priority-guided Differential Fuzzing. Kuiliang Lin, Xiangpu Song, Yingpei Zeng, Shanqing Guo |
| 2023 | DeepIA: An Interpretability Analysis based Test Data Generation Method for DNN. Qifan He, Ruilin Xie, Li Li, Zhanqi Cui |
| 2023 | DyFuzz: Skeleton-based Fuzzing for Python Libraries. Xinmeng Xia, Yang Feng |
| 2023 | Efficient fuzz testing of web services. Matús Ferech, Pavel Tvrdík |
| 2023 | Enhancing Code Completion with Implicit Feedback. Haonan Jin, Yu Zhou, Yasir Hussain |
| 2023 | Enhancing Code Prediction Transformer with AST Structural Matrix. Yongyue Yang, Liting Huang, Chunyang Ye, Fenghang Li, Hui Zhou |
| 2023 | Enhancing Fault Localization by incorporating Statement Frequency and Test Case Contribution. Arpita Dutta |
| 2023 | Evaluating the Availability of Service Function Chain under Different Elasticity Strategies Based on Colored Petri Net. Hui Dong, Zhenyu Liu, Hua Li, Xianrong Wang |
| 2023 | FINDGATE: Fine-grained Defect Prediction Based on a Heterogeneous Discrete Code Graph-guided Attention Transformer. Jiaxi Xu, Ping Chen, Banghu Yin, Zhichang Huang, Qiaochun Qiu |
| 2023 | Git Merge Conflict Resolution Leveraging Strategy Classification and LLM. Chaochao Shen, Wenhua Yang, Minxue Pan, Yu Zhou |
| 2023 | Human-Machine Collaborative Testing for Android Applications. Yuying Li, Yang Feng, Rui Hao, Zhenyu Chen |
| 2023 | IMCSCL: Image-Based Malware Classification using Self-Supervised and Contrastive Learning. Yetao Jia, Yangyang Meng, Honglin Zhuang |
| 2023 | Improving Software Modularization Quality Through the Use of Multi-Pattern Modularity Clustering Algorithm. Tsung-Han Yang, Chin-Yu Huang |
| 2023 | Integrating Extractive and Abstractive Models for Code Comment Generation. Weisong Sun, Yuling Hu, Yingfei Xu, Yuchen Chen, Chunrong Fang |
| 2023 | Investigating Execution Trace Embedding for Test Case Prioritization. Emad Jabbar, Hadi Hemmati, Robert Feldt |
| 2023 | JITBoost: Boosting Just-In-Time Defect Prediction using Boolean Combination of Classifiers. Mohammed A. Shehab, Abdelwahab Hamou-Lhadj, Venkata Sai Gunda |
| 2023 | Just-In-Time Method Name Updating With Heuristics and Neural Model. Zhenting Guo, Meng Yan, Hongyan Li, Zhezhe Chen, Weifeng Sun |
| 2023 | Knowledge Graph Completing with Dual Confrontation Learning Model based on Variational Information Bottleneck Method. Song Han, Zhengyi Guan, Sihui Li, Jin Wang, Xiaobing Zhou |
| 2023 | LGLog: Semi-supervised Graph Representation Learning for Anomaly Detection based on System Logs. Jialong Liu, Yanni Tang, Jiamou Liu, Kaiqi Zhao, Wu Chen |
| 2023 | LLM for Test Script Generation and Migration: Challenges, Capabilities, and Opportunities. Shengcheng Yu, Chunrong Fang, Yuchen Ling, Chentian Wu, Zhenyu Chen |
| 2023 | Leveraging Conditional Statement to Generate Acceptance Tests Automatically via Traceable Sequence Generation. Guoliang Zhao, Gexiang Fang, Dongdong Du, Qing Gao, Minghui Zhang |
| 2023 | Log-based Anomaly Detection of Enterprise Software: An Empirical Study. Nadun Wijesinghe, Hadi Hemmati |
| 2023 | LogContrast: A Weakly Supervised Anomaly Detection Method Leveraging Contrastive Learning. Ting Zhang, Xin Huang, Wen Zhao, Guozhao Mo, Shaohuang Bian |
| 2023 | MAD: One-Shot Machine Activity Detector for Physics-Based Cyber Security. Arthur Grisel-Davy, Sebastian Fischmeister |
| 2023 | MicroKGCL: A Knowledge Graph for Root Cause Localization of Feedback Issues in Microservices. Xin-Wei Yao, Qi-Chao Lu, Qiang Li, Lin-Lang Liu, Zhi-Chao Zhu |
| 2023 | Mobile Test Script Generation from Natural Language Descriptions. Chun Li, Yifan Xiong, Zhong Li, Wenhua Yang, Minxue Pan |
| 2023 | Modeling of GPGPU architectures for performance analysis of CUDA programs. Francesco Terrosi, Francesco Mariotti, Paolo Lollini, Andrea Bondavalli |
| 2023 | Mucha: Multi-channel based Code Change Representation Learning for Commit Message Generation. Chuangwei Wang, Yifan Wu, Xiaofang Zhang |
| 2023 | On ChatGPT: Perspectives from Software Engineering Students. Khadija Hanifi, Orçun Çetin, Cemal Yilmaz |
| 2023 | On Error Representativeness of Function Call Interfaces for C/C++ Program. Wei Zhang, Hao Xu, Zhangjun Lu, Jianhui Jiang |
| 2023 | Online Data Drift Detection for Anomaly Detection Services based on Deep Learning towards Multivariate Time Series. Gou Tan, Pengfei Chen, Min Li |
| 2023 | Performance Optimization for Information Sharing Process of BlockIoV Based on Multi-Objective Particle Swarm. Xin Gu, Xingya Wang, Yu Ma, Zhenyu Chen, Song Huang |
| 2023 | Quality Evaluation of Summarization Models for Patent Documents. Junhua Ding, Haihua Chen, Sai Kolapudi, Lavanya Pobbathi, Huyen Nguyen |
| 2023 | RUSPATCH: Towards Timely and Effectively Patching Rust Applications. Yufei Wu, Baojian Hua |
| 2023 | Research, Implementation and Analysis of Source Code Metrics in Rust-Code-Analysis. Luca Ardito, Marco Ballario, Michele Valsesia |
| 2023 | SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture. Amine Barrak, Mayssa Jaziri, Ranim Trabelsi, Fehmi Jaafar, Fábio Petrillo |
| 2023 | SRRA: A Novel Skewness-Based Algorithm for Cloudlet Scheduling. Sanjaya Kumar Panda, Shidhanta Sen |
| 2023 | Scope-based Compiler Differential Testing. Rong Qu, Jiangang Huang, Long Zhang, Tianlu Qiao, Jian Zhang |
| 2023 | Software Code Quality Measurement: Implications from Metric Distributions. Siyuan Jin, Ziyuan Li, Bichao Chen, Bing Zhu, Yong Xia |
| 2023 | StructureTester: Automatic Machine Translation Testing Based on Variation Feature Vector. Wei Luo, Yemao Luo, Yao Li, Tao Zhang |
| 2023 | SyntaxLineDP: a Line-level Software Defect Prediction Model based on Extended Syntax Information. Jianzhong Zhu, Yuan Huang, Xiangping Chen, Ruomei Wang, Zibin Zheng |
| 2023 | Test Case Generation for Autonomous Driving Based on Improved Genetic Algorithm. Lele Sun, Song Huang, Changyou Zheng, Tongtong Bai, Zhe Hu |
| 2023 | The Causal Reasoning Ability of Open Large Language Model: A Comprehensive and Exemplary Functional Testing. Shunhang Li, Gang Zhou, Zhibo Li, Ji-Cang Lu, Ningbo Huang |
| 2023 | Toward Understanding Bugs in Swift Programming Language. Qianyue Wu, Sijie Yu, Ziyuan Wang, Nannan Wang, Yaping Feng |
| 2023 | Towards an Effective and Interpretable Refinement Approach for DNN Verification. Jiaying Li, Guangdong Bai, Long H. Pham, Jun Sun |
| 2023 | Towards the Adoption and Adaptation of the AndroidX Library: An Empirical Study. Jiacheng Li, Kerui Huang, Sinan Wang, Yepang Liu |
| 2023 | Understanding Bugs in Rust Compilers. Xinmeng Xia, Yang Feng, Qingkai Shi |
| 2023 | Using Data Abstraction for Clustering in the Context of Test Case Generation. Nour Chetouane, Franz Wotawa |
| 2023 | VMCanary: Effective Memory Protection for WebAssembly via Virtual Machine-assisted Approach. Ziyao Zhang, Wenlong Zheng, Baojian Hua, Qiliang Fan, Zhizhong Pan |
| 2023 | WASAIUP: A Demand-driven Concolic Fuzzer for EOSIO Smart Contracts. Meng Wang, Ziheng Wang, Bin Yu, Kai Zhang |
| 2023 | Wireless Threats Against V2X Communication. Axel Boström, Franz Wotawa |
| 2023 | intCV: Automatically Inferring Correlated Variables in Interrrupt-Driven Program. Chao Li, Zhixuan Wang, Rui Chen, Mengfei Yang |