DocumentCode
2278610
Title
Identifying sequentially untestable faults using illegal states
Author
Long, David E. ; Iyer, Mahesh A. ; Abramovici, Miron
Author_Institution
AT&T Bell Labs., Murray Hill, NJ, USA
fYear
1995
fDate
30 Apr-3 May 1995
Firstpage
4
Lastpage
11
Abstract
In this paper, we first present an algorithm (FILL) which efficiently identifies a large subset of the illegal states in a synchronous sequential circuit, without assuming a global reset mechanism. A second algorithm, FUNI, finds sequentially untestable faults whose detection requires some of the illegal states computed by FlLL. Although based on binary decision diagrams (BDDs), FILL is able to process large circuits by using a new functional partitioning procedure. The incremental building of the set of illegal states guarantees that FILL mill always obtain at least a partial solution. FUNI is a direct method that identifies untestable faults without using the exhaustive search involved in automatic test generation (ATG). Experimental results show that FUNI finds a large number of untestable faults up to several orders of magnitude faster than an ATG algorithm that targeted the faults identified by FUNI, Also, many untestable faults identified by FUNI were aborted by the test generator
Keywords
automatic testing; fault diagnosis; integrated circuit testing; logic partitioning; logic testing; sequential circuits; FILL algorithm; FUNI algorithm; binary decision diagrams; functional partitioning procedure; illegal states; incremental building; partial solution; sequentially untestable faults; synchronous sequential circuit; test generator; Boolean functions; Circuit faults; Circuit testing; Data structures; Electrical fault detection; Fault detection; Fault diagnosis; Milling machines; Partitioning algorithms; Sequential circuits;
fLanguage
English
Publisher
ieee
Conference_Titel
VLSI Test Symposium, 1995. Proceedings., 13th IEEE
Conference_Location
Princeton, NJ
ISSN
1093-0167
Print_ISBN
0-8186-7000-2
Type
conf
DOI
10.1109/VTEST.1995.512610
Filename
512610
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