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2 cards from this section. Quick, good the night before a test.
What is test compression?
Think about how we can manage large datasets.
Explain the importance of test minimization.
Consider testing time and efficiency.
What is the primary goal of test compression?
Think about what compression typically achieves.
True or False: Test minimization can lead to fewer patterns and higher fault coverage.
Consider how minimization works.
Consider an IC that originally requires 100 test patterns for complete fault coverage. You deploy test minimization and achieve full coverage with only 40 patterns. Discuss the implications of this reduction for testing time and resource allocation.
Think about time savings and resource management.
If an engineer uses a compression algorithm that achieves 50% reduction in test vector size while maintaining fault coverage, how does this affect testing efficiency and process?
Consider the overall impact on testing logistics.
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