LLM-based Behaviour Driven Development for Hardware Design

Fuente: arXiv
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Main Authors: Drechsler, Rolf, Liu, Qian
Format: Preprint
Published: 2025
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author Drechsler, Rolf
Liu, Qian
author_facet Drechsler, Rolf
Liu, Qian
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2512_17814
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle LLM-based Behaviour Driven Development for Hardware Design
Drechsler, Rolf
Liu, Qian
Software Engineering
Artificial Intelligence
Hardware Architecture
B.6.3; B.8.2; D.2.4
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.
title LLM-based Behaviour Driven Development for Hardware Design
topic Software Engineering
Artificial Intelligence
Hardware Architecture
B.6.3; B.8.2; D.2.4
url https://arxiv.org/abs/2512.17814