Implementation of Compaction and Genetic Algorithm for ATPG Generated Partially Specified Test Data
Abstract
This ATPG uses the line justification and error propagation to find the test vectors for reduced fault set with the aid of controllability and observability and genetic algorithm solves many search and optimization problem effectively. Single stuck at fault model is considered. The programs are developed for fault equivalence method, controllability Observability, automatic test pattern generation and test data compaction using object oriented language C++.
Keywords
Automatic Test Pattern Generation (ATPG); Genetic Algorithm (GA); Design Validation; Evolutionary Algorithm; Test vector; compaction; ISCAS; ATPG
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