Lionel Briand

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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