Reconfigurable Scan Architecture for High Diagnostic Resolution

Seokjun Jang, Jihye Kim, Sungho Kang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Scan chain diagnosis is essential to solving yield-reduction problem caused by the miniaturization of manufacturing process. The accurate diagnosis of scan chain faults that frequently occur in the initial process is vital for rapidly improving yield. Moreover, the importance of scan chain diagnosis with a high resolution for the multiple faults is increasing because multiple faults occur in the early stages of the process, further increasing the cost of physical failure analysis. Although multiple faults can be diagnosed with existing methods, a high diagnostic resolution is difficult to achieve in the early stages of the process (where many faults occur) due to the rapid increase in the number of diagnosed fault candidates as the number of actual faults in the circuit increases. In this paper, a novel reconfigurable scan architecture that reconfigures the diagnosis paths and a test algorithm that uses this scan architecture are proposed to reduce the number of diagnosed fault candidates in the scan chain diagnosis with multiple circuit faults. Experimental results indicate that the proposed method achieves the higher diagnostic resolution for multiple faults than conventional methods. In addition, the proposed method reduces the routing overhead by scan partitioning.

Original languageEnglish
Article number9524603
Pages (from-to)120537-120550
Number of pages14
JournalIEEE Access
Publication statusPublished - 2021

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1A2C3011079).

Publisher Copyright:
© 2013 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)


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