Könyv Advanced Techniques for Assertion-Based Verification in Hardware Designs using Data Mining Algorithms Mohammad Reza Heidari Iman

Advanced Techniques for Assertion-Based Verification in Hardware Designs using Data Mining Algorithms

Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
38 537 Ft
This book introduces leading-edge techniques for verifying the complex electronic systems used in in...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2025
oldal
100
EAN
9783031904097
Enbook ID
48208405
Súly
334
Méretek
155 x 235

Teljes leírás

This book introduces leading-edge techniques for verifying the complex electronic systems used in industries such as aerospace, automotive, and medical devices, and ensuring the safety and security of these systems. By focusing on advanced verification and security verification methods, the author addresses the critical need to detect and prevent potential bugs, errors, and vulnerabilities such as Hardware Trojans in embedded systems. With an emphasis on innovative approaches to assertion-based verification, this book provides valuable insights for engineers, researchers, and professionals dedicated to enhancing the functional verification, security, and trustworthiness of critical technological systems.

The methods described in this book address key shortcomings in current automatic assertion miners used for assertion-based verification, such as long execution times, excessive and redundant assertion generation, and inconsistency among generated assertions. The author discusses several innovative methods, tools and techniques, such as ARTmine, IMMizer, and Dominance, which enhance functional verification, and facilitate the automatic generation, evaluation, and minimization of assertions. Additionally, novel techniques are introduced for security verification, including a security-based assertion miner for RISC-V processors and ADAssure for debugging and bug localization in autonomous driving control algorithms of autonomous vehicles.

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