Enhanced Functional Verification of Advanced Digital Designs Through Optimal Test Scenario-Based Regression Suites

Authors

  • Rameed Al-Tafuri King Abdullah University of Science and Technology, Saudi Arabia Author

Keywords:

Functional Verification, Digital Design, Regression Suites, Test Scenarios, Verification Methodologies, Formal Verification

Abstract

As digital designs become increasingly complex, ensuring their correctness and reliability through effective verification processes has become more challenging and critical. This paper explores the enhancement of functional verification for advanced digital designs through optimal test scenario-based regression suites. It begins by outlining the fundamental principles of functional verification and its importance in maintaining design integrity. The discussion then shifts to the specific challenges faced in verifying modern digital systems, including the complexities introduced by scale and design intricacies. The core focus is on optimal test scenario-based regression suites, which are designed to address these challenges by providing comprehensive coverage and efficiency. Various methodologies for improving verification processes are examined, including formal verification, simulation-based approaches, and automated testing tools. Implementation strategies for developing and maintaining effective regression suites are also discussed, emphasizing the need for continuous refinement and adaptation. The paper concludes with an overview of future directions in verification technology, highlighting emerging trends such as artificial intelligence and machine learning that promise to further enhance the effectiveness of regression testing. Through these advancements, the paper aims to contribute to the ongoing efforts in achieving high-quality and reliable digital designs.

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Published

2024-02-18

How to Cite

Rameed Al-Tafuri. (2024). Enhanced Functional Verification of Advanced Digital Designs Through Optimal Test Scenario-Based Regression Suites. International Journal of Computer Science and Engineering Research and Development (IJCSERD), 14(1), 1-5. https://ijcserd.in/index.php/home/article/view/IJCSERD_14_01_1