| 2024 | 24th IEEE International Conference on Software Quality, Reliability and Security, QRS 2024, Cambridge, United Kingdom, July 1-5, 2024 |
| 2024 | A Distributed Service Function Chain Orchestration Approach with VNF Reuse to Balance Latency and Resource Efficiency. Wenlin Cheng, Xingwei Wang, Bo Yi, Chuangchuang Zhang, Min Huang |
| 2024 | A Method of Network Attack Named Entity Recognition based on Deep Active Learning. Li Wang, Yunxiao Ma, Mingyue Li, Hua Li, Peilong Zhang |
| 2024 | A Novel Approach for Traveling Salesman Problem Via Probe Machine. Changfeng Duan, Jing Liu, Jin Xu, Dongdong An, Yu Bao |
| 2024 | A Novel Explainable Method based on Grad-CAM for Network Intrusion Detection. Yunpeng Sun, Zhichao Lian, Shuangquan Zhang, Zhanfeng Wang, Tao Duan |
| 2024 | A Software Bug Fixing Approach Based on Knowledge-Enhanced Large Language Models. Lili Bo, Yuting He, Xiaobing Sun, Wangjie Ji, Xiaohan Wu |
| 2024 | A Strategy of Dynamic Random Testing with Hybrid Distance Metrics for Quantum Programs. Linzhi Huang, Hanyu Pei, Yuechen Li, Beibei Yin, Kai-Yuan Cai |
| 2024 | A Traffic Domain Classification Method Based On Large Model Multiple Optimization Strategies Neural Network. Qizheng Wu, Sen Wang, Xingyu Han, Lu Xu, Xiang Chen |
| 2024 | An Automatic Approach for Uniquely Discovering Actionable Elements for Systematic GUI Testing in Web Applications. Thiago Santos de Moura, Francisco Igor de Lima Mendes, Everton L. G. Alves, Ismael Raimundo da Silva Neto, Cláudio de Souza Baptista |
| 2024 | An Empirical Study on Bugs in Rust Programming Language. Sijie Yu, Ziyuan Wang |
| 2024 | An Empirical Study on Python Library Dependency and Conflict Issues. Xinyu Jia, Yu Zhou, Yasir Hussain, Wenhua Yang |
| 2024 | An Improved Adaptive Angle Weakly Supervised Learning Object Detection. Yantong Chen, Yuxin Shi, Jianzhao Ren, Jiabao Li |
| 2024 | Ant Colony Optimization Based Algorithm for Test Path Generation Problem with Negative Constraints. Matej Klima, Miroslav Bures, Martin Blaha |
| 2024 | Application Scenario Modeling and Verification for Unmanned Aerial Vehicle Swarm. Manqing Zhang, Renliang Wu, Kang Su, Yunwei Dong, Tao Zhang |
| 2024 | Assets Criticality Assessment of Industrial Control Systems: A Wind Farm Case Study. Shwetha Gowdanakatte, Mahmoud Abdelgawad, Indrakshi Ray |
| 2024 | Automated Machine Learning for Enhanced Software Reliability Growth Modeling: A Comparative Analysis with Traditional SRGMs. Taehyoun Kim, Duksan Ryu, Jongmoon Baik |
| 2024 | Beyond Memory Safety: an Empirical Study on Bugs and Fixes of Rust Programs. Chengquan Zhang, Yang Feng, Yaokun Zhang, Yuxuan Dai, Baowen Xu |
| 2024 | Building Secure Software for Smart Aging Care Systems: An Agile Approach. Nilesh Chakraborty, Shahrear Iqbal, Mohammad Zulkernine |
| 2024 | Classification Method of Ethereum Smart Contracts Based on Statistical Model Checking. Miaoer Li, Yi Zhu, Yali Liu, Chan Yin |
| 2024 | DeepWeak: Weak Mutation Testing for Deep Learning Systems. Yinjie Xue, Zhiyi Zhang, Chen Liu, Shuxian Chen, Zhiqiu Huang |
| 2024 | Designing Deep Neural Net Controller for Quadrotor Attitude Stabilization. Xudong He |
| 2024 | Detecting Faults vs. Revealing Failures: Exploring the Missing Link. Amani Ayad, Samia Al Blwi, Ali Mili |
| 2024 | Dynamic Resource Allocation for Executable BPMN Processes Leveraging Predictive Analytics. Yliès Falcone, Gwen Salaün, Ahang Zuo |
| 2024 | EATS: Efficient Adaptive Test Case Selection for Deep Neural Networks. Huanze Meng, Zhiyi Zhang, Yuchen Ding, Shuxian Chen, Yongming Yao |
| 2024 | Efficient Verification of Multi-Agent Systems Through Parallel. Zhen Yao, Jing Liu, Xiaohong Chen, Li Han, Haiying Sun |
| 2024 | Empirical Evaluation of Large Language Models for Novice Program Fault Localization. Yangtao Liu, Hengyuan Liu, Zezhong Yang, Zheng Li, Yong Liu |
| 2024 | Employing CNN with Spatial Pyramid Pooling for Predicting Software Defects through Image Analysis. Zong-Yi Chen, Chin-Yu Huang, Jing-Rong Lin, Chih-Chiang Fang, William Cheng-Chung Chu |
| 2024 | Enhanced Privacy Protection in Graph Neural Networks Using Local Differential Privacy. Junjie Yu, Yong Li, Ming Wen, Qianren Yang |
| 2024 | Enhancing Data Retrieval with Custom Embedding Models and ChatGPT. Jens Christian Toftdahl, Kamrul Islam Shahin, Thomas Hylle |
| 2024 | Enhancing Software Reliability Growth Modeling: A Comprehensive Analysis of Historical Datasets and Optimal Model Selections. Taehyoun Kim, Duksan Ryu, Jongmoon Baik |
| 2024 | Ensuring the Reliability of AI Systems through Methodological Processes. Afef Awadid, Xavier Le Roux, Boris Robert, Morayo Adedjouma, Eric Jenn |
| 2024 | Evaluating OpenAI Large Language Models for Generating Logical Abstractions of Technical Requirements Documents. Alexander Perko, Franz Wotawa |
| 2024 | Event-level Anomaly Detection on Software logs: Role of Algorithm, Threshold, and Window Size. Jesse Nyyssölä, Mika Mäntylä |
| 2024 | Exploring Large Language Models for Method Name Prediction. Hanwei Qian, Tingting Xu, Ziqi Ding, Wei Liu, Shaomin Zhu |
| 2024 | FMCS: Improving Code Search by Multi-Modal Representation Fusion and Momentum Contrastive Learning. Wenjie Liu, Gong Chen, Xiaoyuan Xie |
| 2024 | FMUZZ: A Novel Greybox Fuzzing Approach based on Mutation Strategy Optimization with Byte Scheduling. Jinfu Chen, Fei Yan, Saihua Cai, Shengran Wang, Jingyi Chen |
| 2024 | Fuzzing Command-line Interface by Edge Coverage Guided Combinatorial Testing and Input Clustering. Han-Lin Lu, Zong-Yuan Wu, Chien-Hsing Wu, Guan-Zhong Wang, Shih-Kun Huang |
| 2024 | Fuzzy Safety and Liveness Properties in Linear-time. Fan Shi, Zhiqiu Huang, Haiyu Pan, Yuting Chang, Heng Xu |
| 2024 | GNN-Based Transfer Learning and Tuning for Detecting Code Vulnerabilities across Different Programming Languages. Irfan Ali Khan, Yu Luo, Weifeng Xu, Dianxiang Xu |
| 2024 | Graph-Based Salient Class Classification in Commits. Jiahao Ren, Jianming Chang, Lulu Wang, Zaixing Zhang, Bixin Li |
| 2024 | Impact of Prior Beliefs on Dependability Prediction for a Changed System Using Pre-change Operational Evidence. Robab Aghazadeh Chakherlou, Lorenzo Strigini |
| 2024 | Investigating Reproducibility in Deep Learning-Based Software Fault Prediction. Adil Mukhtar, Dietmar Jannach, Franz Wotawa |
| 2024 | Learning from Failures: Translation of Natural Language Requirements into Linear Temporal Logic with Large Language Models. Yilongfei Xu, Jincao Feng, Weikai Miao |
| 2024 | Log Parsing using Semantic Filtering based Prompt Learning. Zhun Xu, Baohua Huang, Ningjiang Chen |
| 2024 | Model-Driven Development of Single-Page Applications Using UML State Machines and Maude. Alexander Müller-Lobeck, Gefei Zhang |
| 2024 | Multi-modal Feature Fistillation Emotion Recognition Method For Social Media. Xue Zhang, Mingjiang Wang, Xiao Zeng |
| 2024 | Multimodal Multi-Objective Test Data Generation Method based on Particle Swarm Optimization. Qi Yao, Yizhuo Zhang, Yujia Li, Fang Liu, Shunkun Yang |
| 2024 | Neural Network-based Functional Degradation for Cyber-Physical Systems. Zheng-Hong Huang, Yu-Sung Wu, Ying-Dar Lin, Chia-Mu Yu, Wei-Bin Lee |
| 2024 | OTCP-ISVM: Online Test Case Prioritization Based on Incremental Support Vector Machine. Huaixu Lin, Bixin Li, Liang Liu, Lulu Wang, Jianming Chang |
| 2024 | On the Effectiveness of Large Language Models in Statement-level Code Summarization. Jie Zhu, Yun Miao, Tingting Xu, Junwu Zhu, Xiaolei Sun |
| 2024 | Online Reliability Prediction for Web Applications: An Adaptive Approach with AdaRel. Chun Yen Chang-Sundin, Ninad Chaudhari, Mei-Hwa Chen |
| 2024 | PADRAIG: Precise Android Automated Input Generation. Jordan Doyle, Thomas Laurent, Anthony Ventresque |
| 2024 | Portable Intelligent ECG Monitoring System Based on End-Edge-Cloud Architecture. Zhenxing Zhang, Jun Ge, Qikang Sun, Qianxiang An, Yihao Li |
| 2024 | Query Quality Prediction for Text Retrieval-based Bug Localization. Wenjie Liu, Weiqin Zou, Bingting Chen, Biyu Cai, Jingxuan Zhang |
| 2024 | Requirements for Applying SCIA: A Structured Cyberattack Impact Analysis Approach for ICS. Alvi Jawad, Zoe Arnott, Jason Jaskolka |
| 2024 | RumFuzz: Coverage-guided Greybox Fuzzing with Reasonable Use of Memory. Jiangyun Xu, Jinbo Wang, Yunyun Ma, Lu Li, Chang Jia |
| 2024 | SIAF: Systematic Interference Analysis Framework for Household Microprocessor Services. Christoph Dropmann, Daniel Schneider |
| 2024 | Semantic Log Partitioning: Towards Automated Root Cause Analysis. Bahareh Afshinpour, Massih-Reza Amini, Roland Groz |
| 2024 | Semi-Automated Refactoring of BPMN Processes. Quentin Nivon, Gwen Salaün |
| 2024 | Speed and Performance of Parserless and Unsupervised Anomaly Detection Methods on Software Logs. Jesse Nyyssölä, Mika Mäntylä |
| 2024 | Symbolic Execution with Test Cases Generated by Large Language Models. Jiahe Xu, Jingwei Xu, Taolue Chen, Xiaoxing Ma |
| 2024 | TWAO: Time-Weight-Aware Oversampling Method for Just-in-Time Software Defect Prediction. Qi Xue, Weiyuan Zhuang, Lei Zhao, Xiaofang Zhang |
| 2024 | Test Case Generation for Access Control Based on UML Activity Diagram. Ao Fan, Li Liao, Lulu Wang, Bixin Li |
| 2024 | Testing in the Evolving World of DL Systems: Insights from Python GitHub Projects. Qurban Ali, Oliviero Riganelli, Leonardo Mariani |
| 2024 | The ACPATH Structural Complexity Metric. Roberto Bagnara, Abramo Bagnara, Alessandro Benedetti, Patricia M. Hill |
| 2024 | The PIT-Cerberus Framework: Preventing Device Tampering During Transit. Rakesh Podder, Jack Sovereign, Indrajit Ray, Madhan B. Santharam, Stefano Righi |
| 2024 | Towards Understanding Bugs in Go Programming Language. Yaping Feng, Ziyuan Wang |
| 2024 | Transferrable DP-Adapter Tuning: A Privacy-Preserving Multimodal Parameter-Efficient Fine-Tuning Framework. Lixia Ji, Shijie Xiao, Bingzhi Xu, Han Zhang |
| 2024 | Triggering Adaptation via Contextual Metamorphic Relations. Byron DeVries, Erik M. Fredericks |
| 2024 | Weaknesses in LLM-Generated Code for Embedded Systems Networking. Murray Dunne, Kylee Schram, Sebastian Fischmeister |
| 2024 | Which API is Faster: Mining Fine-grained Performance Opinion from Online Discussions. Yuekai Huang, Junjie Wang, Song Wang, Rupeng Zhang, Qing Wang |
| 2024 | cf-TDFM: A Framework for Limiting Fault Infusion Attacks on Deep Neural Networks. Mehar Prateek Kalra, Soniya, Apurva Narayan |