Publication details
LLM-based Functional Coverage Generation and Auto-Evaluation Framework
| Authors | |
|---|---|
| Year of publication | 2026 |
| Type | Paper in proceedings |
| Conference | DVCon Europe 2025; Design and Verification Conference and Exibition |
| MU Faculty or unit | |
| Citation | |
| web | https://ieeexplore.ieee.org/document/11443211 |
| Doi | https://doi.org/10.30420/566664001 |
| Keywords | Universal Verification Methodology; UVM; Functional verification; Coverage; LLM; CoCoTB; Benchmark |
| Description | This paper investigates using large language models (LLMs) to automatically generate functional coverage code from natural language verification requirements. Using a controlled evaluation framework, the authors show that LLMs have promising capabilities but still face limitations. |
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