A hierarchical test pattern generation system based on high-level primitives

1992 ◽  
Vol 11 (1) ◽  
pp. 34-44 ◽  
Author(s):  
T.M. Sarfert ◽  
R.G. Markgraf ◽  
M.H. Schulz ◽  
E. Trischler
Keyword(s):  
Test Pattern ◽  
Pattern Generation ◽  
Test Pattern Generation ◽  
Generation System ◽  
High Level

Hierarchical test pattern generation based on high-level primitives

2003 ◽  
Author(s):  
T.M. Sarfert ◽  
R. Markgraf ◽  
E. Trischler ◽  
M.H. Schulz
Keyword(s):  
Test Pattern ◽  
Pattern Generation ◽  
Test Pattern Generation ◽  
High Level

An interactive sequential test pattern generation system

2003 ◽  
Author(s):  
R. Razdan ◽  
M. Anwaruddin ◽  
P.G. Kovijanic ◽  
R. Ganesh ◽  
H.-C. Shih
Keyword(s):  
Test Pattern ◽  
Pattern Generation ◽  
Sequential Test ◽  
Test Pattern Generation ◽  
Generation System

Conflict-Driven Learning in Test Pattern Generation

2011 ◽  
Vol 301-303 ◽  
pp. 1089-1092
Author(s):  
Xin Liu
Keyword(s):  
Test Pattern ◽  
Level Structure ◽  
Conjunctive Normal Form ◽  
Search Space ◽  
Pattern Generation ◽  
Test Pattern Generation ◽  
Heuristic Learning ◽  
Fundamental Cause ◽  
Reconvergent Fanout ◽  
High Level

SAT-based automatic test pattern generation (ATPG) is built on a SAT-solver, which can be scalable is that it is able to take into account the information of high-level structure of formulas. Paper analyzes specific structure of circuit instances where correlations among signals have been established. This analysis is a heuristic learning method by earlier detecting assignment conflicts. Reconvergent fanout is a fundamental cause of the difficulty in testing generation, because they introduce dependencies in the values that can be assigned to nodes. Paper exploits reconvergent fanout analysis of circuit to gather information about local signal correlation through BDD learning, and then used the learned information in the conjunctive normal form (CNF) clauses to restrict and focus the overall search space of test pattern generation. The experimental results demonstrate the effectiveness of these learning techniques.

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