Training Large Language Models for System-Level Test Program Generation Targeting Non-functional Properties-Reference-Cited by-同舟云学术

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Training Large Language Models for System-Level Test Program Generation Targeting Non-functional Properties

Published:2024-05-20 Issue: Volume:22 Page:1-4
ISSN:
Container-title:2024 IEEE European Test Symposium (ETS)
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Author:

Schwachhofer Denis¹,Domanski Peter²,Becker Steffen³,Wagner Stefan³,Sauer Matthias⁴,Pflüger Dirk²,Polian Ilia¹

Affiliation:

1. University of Stuttgart,Institute of Computer Engineering and Computer Architecture,Stuttgart,Germany

2. University of Stuttgart,Institute for Parallel and Distributed Systems,Stuttgart,Germany

3. University of Stuttgart,Institute of Software Engineering,Stuttgart,Germany

4. Advantest Europe,Boeblingen,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10567048/10567052/10567741.pdf?arnumber=10567741

Reference17 articles.

1. Beyond structural test, the rising need for system-level test

2. Exploring the Mysteries of System-Level Test

3. Code llama: Open foundation models for code;Roziere,2023

4. Automating the Generation of Programs Maximizing the Sustained Switching Activity in Microprocessor units via Evolutionary Techniques

5. Effective SAT-based Solutions for Generating Functional Sequences Maximizing the Sustained Switching Activity in a Pipelined Processor

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