# LLM-based Behaviour Driven Development for Hardware Design

arXiv: https://arxiv.org/abs/2512.17814 · HTML: https://mlsanity.com/paper/2512.17814/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 14 references that are in the map.
- First posted on arXiv 19 Dec 2025.

## Builds on (most cited first, 1 of 1)

- [Behaviour Driven Development: A Systematic Mapping Study](https://mlsanity.com/paper/2305.05567/) (2023)

## Built on by (most cited first, 1 of 1)

- [Behavior-Driven Explainability](https://mlsanity.com/paper/2607.24881/) (2026)

## Abstract (arXiv)

Test and verification are essential activities in hardware and system design, but their complexity grows significantly with increasing system sizes. While Behavior Driven Development (BDD) has proven effective in software engineering, it is not yet well established in hardware design, and its practical use remains limited. One contributing factor is the manual effort required to derive precise behavioral scenarios from textual specifications. Recent advances in Large Language Models (LLMs) offer new opportunities to automate this step. In this paper, we investigate the use of LLM-based techniques to support BDD in the context of hardware design.