LTM: Scalable and Black-Box Similarity-Based Test Suite Minimization Based on Language Models
LTM: Scalable and Black-Box Similarity-Based Test Suite Minimization Based on Language Models
Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study
Defining a Model for Content Requirements from the Law: An Experience Report
AI-Enabled Regulatory Change Analysis of Legal Requirements
Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems
Search-based DNN Testing and Retraining with GAN-enhanced Simulations
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
Learning-Guided Fuzzing for Testing Stateful SDN Controllers