BISD: scan-based built-in self-diagnosis

  • Authors:
  • Melanie Elm;Hans-Joachim Wunderlich

  • Affiliations:
  • University of Stuttgart, Stuttgart, Germany;University of Stuttgart, Stuttgart, Germany

  • Venue:
  • Proceedings of the Conference on Design, Automation and Test in Europe
  • Year:
  • 2010

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Abstract

Built-In Self-Test (BIST) is less often applied to random logic than to embedded memories due to the following reasons: Firstly, for a satisfiable fault coverage it may be necessary to apply additional deterministic patterns, which cause additional hardware costs. Secondly, the BIST-signature reveals only poor diagnostic information. Recently, the first issue has been addressed successfully. The paper at hand proposes a viable, effective and cost efficient solution for the second problem. The paper presents a new method for Built-In Self-Diagnosis (BISD). The core of the method is an extreme response compaction architecture, which for the first time enables an autonomous on-chip evaluation of test responses with negligible hardware overhead. The key advantage of this architecture is that all data, which is relevant for a subsequent diagnosis, is gathered during just one test session. The BISD method comprises a hardware scheme, a test pattern generation approach and a diagnosis algorithm. Experiments conducted with industrial designs substantiate that the additional hardware overhead introduced by the BISD method is on average about 15% of the BIST area, and the same diagnostic resolution can be obtained as for external testing.