| 2024 | Enhancing Neuron Coverage of DNN Models for Adversarial Testing. | Zimu Tang, Jun Ai, Jie Wang |
| 2024 | Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism. | Yongqian Sun, Yang Guo, Minghan Liang, Xidao Wen, Junhua Kuang, Shenglin Zhang, Hongbo Li, Kaixu Xia, Dan Pei |
| 2024 | State Diagram Extension and Test Case Generation Based on Large Language Models for Improving Test Engineers' Efficiency in Safety Testing. | Qingran Su, Xingze Li, Yuming Ren, Xulang Ouyang, Chunming Hu, Yongfeng Yin |
| 2024 | C Source Code Generation from IR towards Making Bug Samples to Fluctuate for Machine Learning. | Yuto Sugawa, Chisato Murakami, Mamoru Ohara |
| 2024 | Evaluation of software aging in Hyperledger Fabric. | Kojiro Soeda, Xiao Xiao |
| 2024 | TimeSeriesBench: 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 |
| 2024 | Failing and Learning: A Study of What is Learned About Reliability From Software Incidents. | Jonathan Sillito, Matt Pope |
| 2024 | Using Boundary Objects for Continuous Compliance in Automotive Development. | Anthony Shenouda, Tiziano Santilli, Faezeh Siavashi, Thomas Chiang, Nicholas Annable, Horacio Hoyos Rodriguez, Richard F. Paige, Patrizio Pelliccione, Mark Lawford, Alan Wassyng, Vera Pantelic |
| 2024 | Testing Diverse Geographical Features of Autonomous Driving Systems. | Seongdeok Seo, Judy S. Lee, Mijung Kim |
| 2024 | Quantitative evaluation of software rejuvenation of a pool of service replicas. | Leonardo Scommegna, Marco Becattini, Giovanni Fontani, Leonardo Paroli, Enrico Vicario |
| 2024 | Aspis: Lightweight Neural Network Protection Against Soft Errors. | Anna Schmedding, Lishan Yang, Adwait Jog, Evgenia Smirni |
| 2024 | Quantifying Lower Reliability Bounds of Deep Neural Networks. | Max Scheerer, Marius Take, Jonas Klamroth |
| 2024 | Towards N-version Quantum Software Systems for Reliable Classical-Quantum Computing. | Shinobu Saito, Suguru Endo, Yasunari Suzuki |
| 2024 | Defect-based Testing for Safety-critical ML Components. | Amit Sahu, Carmen Crlan |
| 2024 | Detection Latencies of Anomaly Detectors - An Overlooked Perspective? | Tommaso Puccetti, Andrea Ceccarelli |
| 2024 | Self-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 |
| 2024 | A Compositional Approach to Coordinated Software Rejuvenation of Component-Based Systems. | Leonardo Paroli, Tommaso Botarelli, Laura Carnevali, Enrico Vicario |
| 2024 | On Applying Bandit Algorithm to Fault Localization Techniques. | Masato Nakao, Kensei Hamamoto, Masateru Tsunoda, Amjed Tahir, Koji Toda, Akito Monden, Keitaro Nakasai, Kenichi Matsumoto |
| 2024 | Developing Assurance Cases for Adversarial Robustness and Regulatory Compliance in LLMs. | Tomas Bueno Momcilovic, Dian Balta, Beat Buesser, Giulio Zizzo, Mark Purcell |
| 2024 | An Empirical Investigation on Android App Testing Practices. | Tarek Mahmud, Meiru Che, Anne H. H. Ngu, Guowei Yang |
| 2024 | Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems. | Ning Lu, Qian Xie, Hao Zhang, Wenyi Fang, Yang Zheng, Zheng Hu, Jiantao Ma |
| 2024 | n-Pipeline Log Anomaly Detection Drift Mitigation. | Scott Lupton, Hironori Washizaki, Naoyasu Ubayashi, Nobukazu Yoshioka |
| 2024 | Impact of V2V Communication on Robustness of Autonomous Driving Systems. | Lejin Li, Xiao-Yi Zhang, Shuncheng Tang, Zhenya Zhang, Jianjun Zhao |
| 2024 | Exact Computation of Network Reliability with Sentential Decision Diagrams. | Delong Li, Jiayu Zeng, Liangda Fang, Chaonan Wang, Lin Cui, Quanlong Guan |
| 2024 | Fix the Tests: Augmenting LLMs to Repair Test Cases with Static Collector and Neural Reranker. | Jun Liu, Jiwei Yan, Yuanyuan Xie, Jun Yan, Jian Zhang |