There has been a significant amount of interest regarding the use of DBTtsfull in software
testing over the past two decades. Diversity‐based testing (DBT) technique uses similarity …

Test Input Generators (TIGs) are crucial to assess the ability of Deep Learning (DL) image
classifiers to provide correct predictions for inputs beyond their training and test sets. Recent …

Evaluating the behavioral frontier of deep learning (DL) systems is crucial for understanding
their generalizability and robustness. However, boundary testing is challenging due to their …

The input space of machine learning (ML) components used in safety-critical applications is
complex. Due to practical restrictions, testing such components on exponentially large …

The input space of Machine Learning (ML) components used in safety-critical applications is
complex. Testing such components on exponentially large datasets that cover all potential …

Application of Combinatorial Testing in Testing ML Systems Page 1 Application of Combinatorial
Testing in Testing ML Systems Workshop on Combinatorial Testing for AI-enabled Systems …