Development of a UVM-Based Verification IP for DO-254 Compliant ARINC429 HDL Modules

ARINC429 is a widely adopted data transfer standard in avionics, ensuring reliable communication between critical onboard systems. As aircraft increasingly rely on complex electronics, compliance with safety standards such as DO-254 becomes essential for certifying airborne hardware. The verification of ARINC429 IP cores is crucial to meet these stringent safety requirements. Traditionally, ARINC429 IP cores in the literature have been verified using basic testbenches, which pose challenges in terms of flexibility, time, and cost. This paper introduces a UVM-based verification IP for DO-254 compliant ARINC429 HDL modules, addressing the limitations of conventional verification methods by enhancing test coverage and reducing development time. To the best of our knowledge, this is the first study in the literature that uses a VIP to verify an ARINC429 IP core for multiple test scenarios. The VIP offers a reusable, scalable, and efficient verification framework, serving as a robust alternative to traditional loopback-based approaches. It enables thorough validation of ARINC429 IP cores in complex avionics systems. The SIEMENS QuestaSim 10.7a simulator tool is used to extensively test an ASELSAN developed DO-254 compliant ARINC429 IP with the proposed VIP. The results indicate a branch coverage of 91.74%, a statement coverage of 98.34%, and an FEC expression coverage of 96.76%, with an overall average of 95.61%

Authors

Institutions

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/ciees62939.2024.10811202
Citations
1
Primary Topic
Advanced Sensor Technologies Research
Type
article
Field-Weighted Citation Impact
0.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a UVM-Based Verification IP for DO-254 Compliant ARINC429 HDL Modules

İhsan Çiçek, Onur Kula
1 citations
Advanced Sensor Technologies Research
0.18
article

Development of a UVM-Based Verification IP for DO-254 Compliant ARINC429 HDL Modules

İhsan Çiçek, Onur Kula
article en
1 citations

Abstract

ARINC429 is a widely adopted data transfer standard in avionics, ensuring reliable communication between critical onboard systems. As aircraft increasingly rely on complex electronics, compliance with safety standards such as DO-254 becomes essential for certifying airborne hardware. The verification of ARINC429 IP cores is crucial to meet these stringent safety requirements. Traditionally, ARINC429 IP cores in the literature have been verified using basic testbenches, which pose challenges in terms of flexibility, time, and cost. This paper introduces a UVM-based verification IP for DO-254 compliant ARINC429 HDL modules, addressing the limitations of conventional verification methods by enhancing test coverage and reducing development time. To the best of our knowledge, this is the first study in the literature that uses a VIP to verify an ARINC429 IP core for multiple test scenarios. The VIP offers a reusable, scalable, and efficient verification framework, serving as a robust alternative to traditional loopback-based approaches. It enables thorough validation of ARINC429 IP cores in complex avionics systems. The SIEMENS QuestaSim 10.7a simulator tool is used to extensively test an ASELSAN developed DO-254 compliant ARINC429 IP with the proposed VIP. The results indicate a branch coverage of 91.74%, a statement coverage of 98.34%, and an FEC expression coverage of 96.76%, with an overall average of 95.61%

Gebze Technical University (TR), Defense Systems (United States) (US), Aselsan (Turkey) (TR)
Openalex Percentile: Top 49%
Advanced Sensor Technologies Research
0.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.