LTM: Scalable and Black-box Similarity-based Test Suite Minimization based on Language Models TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks Automated Test Case Repair Using Language Models Automated Testing and Safety Analysis of Deep Neural Networks FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair Requirements in Engineering AI- Enabled Systems: Open Problems and Safe AI Systems Opportunities Precise and Complete Requirements? An Elusive Goal Large Language Models for Test Case Evolution and Repair Metamorphic Testing for Web System Security Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical Systems Fuzzing for CPS Mutation Testing Data-driven Mutation Analysis for Cyber-Physical Systems Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems ATM: Black-box Test Case Minimization based on Test Code Similarity and Evolutionary Search Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering 
