| 2022 | Verifiable Obstacle Detection. | Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha |
| 2022 | Multi-Objective Metamorphic Test Case Selection: an Industrial Case Study (Practical Experience Report). | Jon Ayerdi, Aitor Arrieta, Ernest Bota Pobee, Maite Arratibel |
| 2022 | Message from the WoSAR 2022 Chairs. | Alberto Avritzer, Michael Grottke, Ricardo M. Czekster, Raffaele Romagnoli |
| 2022 | Programming Language Evaluation Criteria for Safety-Critical Software in the Air Domain. | Rob Ashmore, Andrew Howe, Rhiannon Chilton, Shamal Faily |
| 2022 | LLTFI: Framework Agnostic Fault Injection for Machine Learning Applications (Tools and Artifact Track). | Udit Kumar Agarwal, Abraham Chan, Karthik Pattabiraman |
| 2022 | Correlating Test Events With Monitoring Logs For Test Log Reduction And Anomaly Prediction. | Bahareh Afshinpour, Roland Groz, Massih-Reza Amini |
| 2022 | MC-FLoc: Learning from Traces to Locate Fault in Petri Net Model Checking. | Ning Ge, Yuchen Liu |
| 2022 | Bootstrapping confidence in future safety from past safe operation. | Peter Bishop, Andrey Povyakalo, Lorenzo Strigini |
| 2022 | Software Rejuvenation Meets Moving Target Defense: Modeling of Time-Based Virtual Machine Migration Approach. | Matheus Torquato, Paulo Romero Martins Maciel, Marco Vieira |
| 2022 | Towards Continuous and Data-driven Specification and Verification of Resilience Scenarios. | Sebastian Frank, M. Alireza Hakamian, Lion Wagner, Jakim von Kistowski, Andr van Hoorn |
| 2021 | Multi-source Cross Project Defect Prediction with Joint Wasserstein Distance and Ensemble Learning. | Quanyi Zou, Lu Lu, Zhanyu Yang, Hao Xu |
| 2021 | Automatically Identifying Bug Reports with Tactical Vulnerabilities by Deep Feature Learning. | Wei Zheng, Manqing Zhang, Hui Tang, Yuanfang Cai, Xiang Chen, Xiaoxue Wu, Abubakar Omari Abdallah Semasaba |
| 2021 | Sensitivity Analysis of Software Rejuvenation Model with Markov Regenerative Process. | Junjun Zheng, Hiroyuki Okamura, Tadashi Dohi |
| 2021 | MC-FGSM: Black-box Adversarial Attack for Deep Learning System. | Wenqiang Zheng, Yan-Fu Li |
| 2021 | Vu1SPG: Vulnerability detection based on slice property graph representation learning. | Weining Zheng, Yuan Jiang, Xiaohong Su |
| 2021 | Detection of IoT Devices That Mine Cryptocurrency. | Wei Zheng, Liangbo Hou, Junming Yu, Fei Chen |
| 2021 | MindFI: A Fault Injection Tool for Reliability Assessment of MindSpore Applicacions. | Yang Zheng, Zhenye Feng, Zheng Hu, Ke Pei |
| 2021 | Network Intrusion Detection by an Approximate Logic Neural Model. | Jiajun Zhao, Qiuzhen Lin, Junkai Ji |
| 2021 | Suraksha: A Framework to Analyze the Safety Implications of Perception Design Choices in AVs. | Hengyu Zhao, Siva Kumar Sastry Hari, Timothy Tsai, Michael B. Sullivan, Stephen W. Keckler, Jishen Zhao |
| 2021 | Robust KPI Anomaly Detection for Large-Scale Software Services with Partial Labels. | Shenglin Zhang, Chenyu Zhao, Yicheng Sui, Ya Su, Yongqian Sun, Yuzhi Zhang, Dan Pei, Yizhe Wang |
| 2021 | CloudPin: A Root Cause Localization Framework of Shared Bandwidth Package Traffic Anomalies in Public Cloud Networks. | Shize Zhang, Yunfeng Zhao, Jianyuan Lu, Biao Lyu, Shunmin Zhu, Zhiliang Wang, Jiahai Yang, Lin He, Jianping Wu |
| 2021 | Out-of-Distribution Detection through Relative Activation-Deactivation Abstractions. | Zhen Zhang, Peng Wu, Yuhang Chen, Jing Su |
| 2021 | How Far Have We Come in Fault Tolerance for Distributed Graph Processing: A Quantitative Assessment of Fault Tolerance Effectiveness. | Chengbo Zhang, Ying Li, Yong Yang, Tong Jia, Zhirong Hou |
| 2021 | Dependency-aware Form Understanding. | Shaokun Zhang, Yuanchun Li, Weixiang Yan, Yao Guo, Xiangqun Chen |
| 2021 | ReSwitcher: Automatically Refactoring Java Programs for Switch Expression. | Yang Zhang, Chaoshuai Li, Shuai Shao |