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Digital Systems Testing and Testable Design

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TLDR
The new edition of Breuer-Friedman's Diagnosis and Reliable Design ofDigital Systems offers comprehensive and state-ofthe-art treatment of both testing and testable design.
Abstract
For many years, Breuer-Friedman's Diagnosis and Reliable Design ofDigital Systems was the most widely used textbook in digital system testing and testable design. Now, Computer Science Press makes available a new and greativ expanded edition. Incorporating a significant amount of new material related to recently developed technologies, the new edition offers comprehensive and state-ofthe-art treatment of both testing and testable design.

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Proceedings ArticleDOI

Optimal hardware pattern generation for functional BIST

TL;DR: Experiments prove the effectiveness of the approach which outperforms previous results for accumulators, in terms of test size and test time, without sacrificing the fault detection capability.
Journal ArticleDOI

Maximum weighted independent sets on transitive graphs and applications

TL;DR: A polynomial-time algorithm that finds the maximum weighted independent set of a transitive graph that finds applications in a variety of VLSI contexts, including path delay fault testing, scheduling in high-level synthesis, and channel routing in physical design automation.
Journal ArticleDOI

GABES: A genetic algorithm based environment for SEU testing in SRAM-FPGAs

TL;DR: GABES, a tool for the generation of test patterns for application-dependent testing of SEUs in SRAM-FPGAs, based on a genetic algorithm, suggests that this approach may be effective in the inspection of safety-critical components of control systems implemented on FPGAs.
Book ChapterDOI

A Synthesizable VHDL Coding of a Genetic Algorithm

TL;DR: The HGA, a genetic algorithm written in VHDL and intended for a hardware implementation, is presented and some applications of the HGA that are feasible given the state-of-the-art in FPGA technology are described.
Proceedings ArticleDOI

Abstraction and Refinement Techniques in Automated Design Debugging

TL;DR: This work proposes a departure from conventional debugging techniques by introducing abstraction and refinement during error localization, under this new framework, existing debugging techniques can handle large designs with long counter-examples yet remain run time and memory efficient.