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Lionel Briand

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