DocumentCode
1544936
Title
AutoFix: a hybrid tool for automatic logic rectification
Author
Huang, Shi-Yu ; Chen, Kuang-Chien ; Cheng, Kwang-Ting
Author_Institution
California Univ., Santa Barbara, CA, USA
Volume
18
Issue
9
fYear
1999
fDate
9/1/1999 12:00:00 AM
Firstpage
1376
Lastpage
1384
Abstract
We address the problem of rectifying an erroneous combinational circuit. Based on the symbolic binary decision diagram techniques, we consider the rectification process as a sequence of partial corrections. Each partial correction reduces the size of the input vector set that produces error responses. Compared with the existing approaches, this approach is more general, and thus, suitable for circuits with multiple errors and for the engineering change problem. Also, we derive the necessary and sufficient condition of general single-gate correction to improve the quality of rectification. To handle larger circuits, we develop a hybrid approach that makes use of the information of structural correspondence between specification and implementation. Experiments are performed on a suite of industrial examples as well as the entire set of ISCAS´85 benchmark circuits to demonstrate its effectiveness
Keywords
automatic testing; binary decision diagrams; circuit CAD; combinational circuits; error correction; integrated circuit testing; logic CAD; symbol manipulation; AutoFix; ISCAS´85 benchmark circuits; automatic logic rectification; engineering change problem; erroneous combinational circuit; error responses; input vector set; multiple errors; partial corrections; single-gate correction; structural correspondence; symbolic binary decision diagram techniques; Automatic logic units; Boolean functions; Combinational circuits; Computer errors; Data structures; Design optimization; Error correction; Logic design; Process design; Sufficient conditions;
fLanguage
English
Journal_Title
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0278-0070
Type
jour
DOI
10.1109/43.784128
Filename
784128
Link To Document