2019 IEEE European Test Symposium (ETS) 2019
DOI: 10.1109/ets.2019.8791526
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High-Level Combined Deterministic and Pseudo-exhuastive Test Generation for RISC Processors

Abstract: Recent safety standards set stringent requirements for the target fault coverage in embedded microprocessors, with the objective to guarantee robustness and functional safety of the critical electronic systems. This motivates the need for improving the quality of test generation for microprocessors. A new high-level implementationindependent test generation method for RISC processors is proposed. The set of instructions of the processor is partitioned into groups. For each group, a dedicated test template is c… Show more

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Cited by 3 publications
(1 citation statement)
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“…In other cases users resort to functional solutions, e.g. based on the so-called Self-Test Libraries [38], which rely on the Software-based Self-test approach [39], [40]. This solution seems particularly effective for in-field test of complex systems, since it allows to exploit self-test code provided by the developer of the modules composing the system and able to achieve a given fault coverage, which is integrated by the user into the application code and run when required to achieve the target reliability figures (e.g., at the Power-On, or periodically, or when specific error conditions happen).…”
Section: Reliability Enhancementmentioning
confidence: 99%
“…In other cases users resort to functional solutions, e.g. based on the so-called Self-Test Libraries [38], which rely on the Software-based Self-test approach [39], [40]. This solution seems particularly effective for in-field test of complex systems, since it allows to exploit self-test code provided by the developer of the modules composing the system and able to achieve a given fault coverage, which is integrated by the user into the application code and run when required to achieve the target reliability figures (e.g., at the Power-On, or periodically, or when specific error conditions happen).…”
Section: Reliability Enhancementmentioning
confidence: 99%