Title
Automatic Generation of Diagnostic March Tests
Abstract
A new approach to automatically generating diagnostic memory tests of linear order (O(N)) is presented. The resulting March tests provide complete detection and distinguishing of all single-cell and two-cell fault models. The approach is based on state transition graph modelling, decomposition of functional memory faults into basic fault effects, and output tracing. For each of the targeted basic fault effects, all possible March sequences are generated. A fast greedy-based algorithm is then used to compose diagnostic March tests from the set of March sequences. The proposed test generation algorithm was implemented in C. The results show that automatic generation can compete with hand-optimization of diagnostic March tests.
Year
DOI
Venue
2001
10.1109/VTS.2001.923453
VTS
Keywords
Field
DocType
fast greedy-based algorithm,complete detection,proposed test generation algorithm,automatic generation,functional memory fault,two-cell fault model,basic fault effect,diagnostic memory test,new approach,targeted basic fault effect,chip,linear order,system testing,hardware,graph theory,design flow,fault detection,system on chip,fault model,state transition,system on a chip,diagnostic test
Graph theory,Graph,Memory faults,Computer science,Algorithm,Automatic testing,Real-time computing,Electronic engineering,Tracing
Conference
ISSN
Citations 
PageRank 
1093-0167
13
0.98
References 
Authors
10
2
Name
Order
Citations
PageRank
Dirk Niggemeyer110811.29
Elizabeth M. Rudnick286776.37