Tightening the Mesh Size of the Cell-Aware ATPG Net for Catching All Detectable Weakest Faults

Min Chun Hu, Zhan Gao, Santosh Malagi, Joe Swenton, Jos Huisken, Kees Goossens, Cheng Wen Wu, Erik Jan Marinissen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Cell-aware test (CAT) explicitly targets faults caused by cell-internal short and open defects and has been shown to significantly reduce test escape rates. CAT library cell characterization is typically done for only two defect resistance values: one representing hard opens and another one representing hard shorts. In this paper, similar to fishermen tightening the mesh size of their nets to catch small fish, we perform library characterization as efficiently as possible for a set of resistances representing increasingly weaker defects, and then adjust our ATPG flow to explicitly target faults caused by the weakest still-detectable variant of each potential defect. We implemented this novel approach in an experimental ATPG tool flow script, using functions of Cadence's Modus as building blocks. To assess the effectiveness of our approach, we formulate a new dedicated test metric: the weakest fault coverage wfc. Compared to conventional CAT targeting hard defects only, experimental results show that our new approach enhances detection of weakest faults and significantly reduces wfc escapes =1-wfc, while maintaining its original (hard-defect) fault coverage fc, of course at the expense of (acceptable) increases in the required number of test patterns and associated test generation time.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE European Test Symposium, ETS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728143125
Publication statusPublished - 2020 May
Event2020 IEEE European Test Symposium, ETS 2020 - Tallinn, Estonia
Duration: 2020 May 252020 May 29

Publication series

NameProceedings of the European Test Workshop
ISSN (Print)1530-1877
ISSN (Electronic)1558-1780


Conference2020 IEEE European Test Symposium, ETS 2020

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Software


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