DocumentCode :
2474945
Title :
Generation and compaction of mixed broadside and skewed-load n-detection test sets for transition faults
Author :
Pomeranz, Irith
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fYear :
2012
fDate :
3-5 Oct. 2012
Firstpage :
37
Lastpage :
42
Abstract :
This paper describes an n-detection test generation strategy for mixed test sets, which consist of both broadside and skewed-load tests, targeting transition faults. The strategy consists of a test generation procedure without test compaction heuristics and a static test compaction procedure. The test generation procedure decides, every time a fault is targeted, whether to generate a broadside or a skewed-load test. The static test compaction procedure allows tests and test types to be modified in order to obtain more effective tests. Experimental results demonstrate the following. (1) The size of the test set produced by the test generation procedure grows slower than linearly with n. After static test compaction the increase in test set size with n is closer to the linear increase that is typical of compacted n-detection test sets. (2) For an individual fault, the n-detection test set may contain a mix of broadside and skewed-load tests to reach the target of n detections. (3) For the higher values of n, static test compaction typically improves the quality of the test set while reducing its size significantly.
Keywords :
fault diagnosis; integrated circuit reliability; integrated circuit testing; mixed broadside test sets; n-detection test generation strategy; skewed-load n-detection test sets; static test compaction procedure; test generation procedure; transition fault model; Circuit faults; Compaction; Delay; Fault tolerance; Fault tolerant systems; Vectors; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2012 IEEE International Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4673-3043-5
Type :
conf
DOI :
10.1109/DFT.2012.6378196
Filename :
6378196
Link To Document :
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