RTL Regression Test Selection using Machine Learning-Reference-Cited by-同舟云学术

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RTL Regression Test Selection using Machine Learning

Published:2022-01-17 Issue: Volume: Page:
ISSN:
Container-title:2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)
language:
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Author:

Parthasarathy Ganapathy¹,Rushdi Aabid¹,Choudhary Parivesh¹,Nanda Saurav¹,Evans Malan¹,Gunasekara Hansika¹,Rajakumar Sridhar¹

Affiliation:

1. Synopsys Inc.,Mountain View,CA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9712466/9712479/09712550.pdf?arnumber=9712550

Reference20 articles.

1. Risk Analysis Based On Design Version Control Data

2. Coverage Learned Targeted Validation for Incremental HW Changes

3. Coverage-Directed Test Generation Automated by Machine Learning -- A Review

4. Functional test selection based on unsupervised support vector analysis

5. Prioritizing test cases for regression testing

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accelerating Continuous Integration with Parallel Batch Testing;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

2. Optimizing Constrained Random Verification with ML and Bayesian Estimation;2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD);2023-09-10

3. Optimizing ML Classification Models for Constrained EDA Resource Budgets;2022 IEEE 40th International Conference on Computer Design (ICCD);2022-10

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