A Methodology for Handling Complex Functional Constraints for Large Industrial Designs
Journal of Electronic Testing: Theory and Applications
On systematic illegal state identification for pseudo-functional testing
Proceedings of the 46th Annual Design Automation Conference
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For sequential circuit test pattern generation incorporating backward justification, we need to justify the values on flip-flops to activate and propagate fault effects. This takes much time when the values to be justified on flip-flops appear to be invalid states. Hence, it is desirable to know invalid states, either dynamically during the justification process or statically before proceeding to test generation. This paper proposes algorithms to identify, before test generation, invalid states for sequential circuits without reset states. The first algorithm explores all valid states from an unknown initial state to search the complete set of invalid states. The second algorithm finds the complete set of invalid states from searching the reachable states for each state. The third algorithm searches the invalid states which are required for test generation to help stop justification early by analyzing dependency among flip-flops to simulate each partial circuit. Experimental results on ISCAS benchmark circuits show that the algorithms can identify invalid states in short time. The obtained invalid states were also used in test generation, and it was shown that they improved test generation significantly in test generation time, fault coverage, and detection efficiency, especially for larger circuits and for those that were difficult to generate