SwePub
Sök i SwePub databas

  Extended search

Träfflista för sökning "id:"swepub:oai:DiVA.org:liu-187362" "

Search: id:"swepub:oai:DiVA.org:liu-187362"

  • Result 1-1 of 1
Sort/group result
   
EnumerationReferenceCoverFind
1.
  • Zhang, Ying, et al. (author)
  • BMC-Based Temperature-Aware SBST for Worst-Case Delay Fault Testing Under High Temperature
  • 2022
  • In: IEEE Transactions on Very Large Scale Integration (vlsi) Systems. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 1063-8210 .- 1557-9999. ; 30:11, s. 1677-1690
  • Journal article (peer-reviewed)abstract
    • This article presents a bounded model checking (BMC)-based temperature-aware software-based self-testing (SBST) technique to test worst case delay faults within the highest temperature range. The BMC-based SBST method first defines the sequential constraint. It develops a sequentially constrained automatic test pattern generation (ATPG) to ensure that the generated delay test patterns can emerge in functional mode. It then uses the processors multiple-level information to reduce the model complexity, avoid aborts due to time-outs during the BMC process, and generate test programs automatically. A temperature-aware SBST method has then been developed to ensure that the test temperature is within the specified range and test the worst case delays under high temperature. Experimental results demonstrate that the proposed technique achieves an extremely high coverage for delay faults and effectively avoids yield loss caused by the overtesting problem. Its test quality also outperforms that of the existing methods. The generated SBST programs are successful and efficient in testing worst case delay faults under high temperature.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-1 of 1
Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Peng, Zebo, 1958- (1)
Ding, Yi (1)
Zhang, Ying (1)
Jiang, Jianhui (1)
Fujita, Masahiro (1)
Li, Huawei (1)
University
Linköping University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Year

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view