An Empirical Evaluation of Using Large Language Models for Automated Model-Based Test Generation
This paper presents an empirical evaluation of Large Language Models (LLMs) for automated model-based test generation, compared with a state-of-the-art model-based testing tool (GraphWalker) and its built-in algorithms (random and quick random for edge and vertex coverage settings).
Hafize Sanli, Onur Kilinççeker, Cihat Çetinkaya
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