Year: 2024
Type: article
Abstract: The rapid evolution of generative AI technologies has brought transformative changes to the field of testbench generation, significantly enhancing the efficiency and accuracy of hardware and software testing. Traditional testbench development is a labor-intensive process, often requiring substantial manual effort to simulate various scenarios and edge cases. This article explores the impact of generative AI on UVM testbench creation, examining its benefits, challenges, and future potential in the verification and validation domains. Key use cases are also discussed, highlighting how AI-driven testbench automation can streamline design verification, reduce time-to-market, and improve product reliability across industries. The example used is for a dual Clock FIFO Device Under Test (DUT).
Authors: Madalina-Florentina DEDU, Corneliu ZAHARIA
Institution: Transylvania University of Brașov
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405209153