• DocumentCode
    1110696
  • Title

    A measure of quality for n-detection test sets

  • Author

    Pomeranz, Irith ; Reddy, Sudhakar M.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    53
  • Issue
    11
  • fYear
    2004
  • Firstpage
    1497
  • Lastpage
    1503
  • Abstract
    N-detection test sets are useful in improving the coverage of unmodeled faults. We introduce a measure of quality that allows us to compare two test sets in terms of their ability to detect unmodeled faults based on the concept of n-detections. Using this measure, we describe a procedure for ordering an n-detection test set for stuck-at faults such that the quality of a test set comprised of the first K tests of the test set is as high as possible. This is useful when only K tests of the test set can be accommodated in the tester memory or to help ensure that unmodeled faults are detected as early as possible during the test application process. We present experimental results demonstrating that the proposed ordering yields test sets with increased coverage of unmodeled faults.
  • Keywords
    fault diagnosis; fault tolerant computing; fault diagnosis; fault tolerant computing; n-detection test set; stuck-at faults; Context modeling; Costs; Fault detection; Linear approximation; Memory management; Predictive models; Probability; Statistical analysis; Testing; 65; Index Terms- n-detection tests; test set ordering; unmodeled faults.;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/TC.2004.87
  • Filename
    1336770