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PSBIST: A partial-scan based built-in self-test scheme

Chih‐Jen Lin, Y. Zorian, Sudipta Bhawmik

Open publisher page 53 citations

Abstract

Partial-scan based built-in self-test (PSBIST) is a versatile design for testability (DFT) scheme, which employs pseudo-random BIST at all levels of test to achieve fault coverages greater than 98% on average, and supports deterministic partial scan at the IC level to achieve nearly 100% fault coverage. While PSBIST provides all the benefits of BIST, it incurs less area overhead and performance degradation than full scan. The area overhead is further reduced when the boundary scan cells are reconfigured for BIST usage.>

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What this paper is about

Partial-scan based built-in self-test (PSBIST) is a versatile design for testability (DFT) scheme, which employs pseudo-random BIST at all levels of test to achieve fault coverages greater than 98% on average, and supports deterministic partial scan at the IC level to achieve nearly 100% fault coverage. While PSBIST provides all the benefits of BIST, it incurs less area overhead and performance degradation than full scan. The area overhead is further reduced when the boundary scan cells are reconfigured for BIST usage.>

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OpenAlex reports 53 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Partial-scan based built-in self-test (PSBIST) is a versatile design for testability (DFT) scheme, which employs pseudo-random BIST at all levels of test to achieve fault coverages greater than 98% on average, and supports deterministic partial scan at the IC level to achieve nearly 100% fault coverage. While PSBIST provides all the benefits of BIST, it incurs less area overhead and performance degradation than full scan. The area overhead is further reduced when the boundary scan cells are reconfigured for BIST usage.>

Key concepts: Boundary scan, Design for testing, Overhead (engineering), Built-in self-test, Fault coverage, Scheme (mathematics), Testability, Computer science

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