Indirect Test Pattern Generation for Mixed-Signal Circuits Using Machine Learning
Editor’s notes: This article presents a machine-learning-based approach for generating indirect test patterns in analog and mixed-signal circuits. The method leverages a low-cost test generation tool to simulate circuit specifications and parametric measures, while accounting for variability through Monte Carlo simulations. —Ney Calazans, Federal University of Santa Catarina (UFSC), Brazil —Bruno Zatt, Federal University of Pelotas (UFPel), Brazil
Authors
- Lucas B. Zilch (ORCID: https://orcid.org/0000-0003-0152-647X)
- Tiago R. Balen (ORCID: https://orcid.org/0000-0001-9641-300X)
- Állan F. G. Ferreira
- Marcelo Lubaszewski
Institutions
- Universidade Federal do Rio Grande do Sul (BR)
Publication Details
- Journal
- IEEE Design and Test
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1109/mdat.2025.3551949
- Citations
- 1
- Primary Topic
- VLSI and Analog Circuit Testing
- Type
- article
- Field-Weighted Citation Impact
- 2.27
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul