Fault dictionary compaction by output sequence removal
ICCAD '94 Proceedings of the 1994 IEEE/ACM international conference on Computer-aided design
On Dictionary-Based Fault Location in Digital Logic Circuits
IEEE Transactions on Computers
Fault dictionary compression and equivalence class computation for sequential circuits
ICCAD '93 Proceedings of the 1993 IEEE/ACM international conference on Computer-aided design
On the generation of small dictionaries for fault location
ICCAD '92 Proceedings of the 1992 IEEE/ACM international conference on Computer-aided design
Failure Diagnosis of Structured VLSI
IEEE Design & Test
Failure Analysis for Full-Scan Circuits
Proceedings of the IEEE International Test Conference on Driving Down the Cost of Test
Bridging Fault Diagnosis in the Absence of Physical Information
Proceedings of the IEEE International Test Conference
Making cause-effect cost effective: low-resolution fault dictionaries
Proceedings of the IEEE International Test Conference 2001
Compact Dictionaries for Fault Diagnosis in Scan-BIST
IEEE Transactions on Computers
Dynamic fault dictionaries and two-stage fault isolation
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Locating bridging faults using dynamically computed stuck-at fault dictionaries
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Creating small fault dictionaries [logic circuit fault diagnosis]
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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The major problem of fault diagnosis with a fault dictionary is the enormous amount of data. The technique used to manage this data can have a significant effect on the outcome of the fault diagnosis procedure. If information is removed from a fault dictionary in order to reduce the size of the dictionary, its ability to diagnose stuck-at faults and unmodeled faults may be severely debased. Therefore, we focus on methods for producing a dictionary that is both small and lossless-compacted.We propose an efficient dictionary for maximum diagnosis, which is called SD-Dictionary. This dictionary consists of a static sub-dictionary and a dynamic sub-dictionary in order to make a smaller dictionary while maintaining the critical information needed for the diagnostic ability. Experimental results on ISCAS' 85, ISCAS' 89 and ITC' 99 benchmark circuits show that the size of the proposed dictionary is substantially reduced, while the dictionary retains most or all of the diagnostic capability of the full dictionary.