Preprint
Aug 2026
Code Health in LLM-Based Test Generation: Effectiveness and Token Efficiency
Coding agents powered by Large Language Models (LLMs) are now prominent in software engineering. Previous work has shown that AI tools perform better on high-quality source code that is easy to maintain. In this study, we investigate how the effectiveness of LLM-generated unit tests varies across maintainability levels...
Freya Wirdemann, Markus Borg, Nadim Hagatulah et al.
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