Stina Edbom

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The quality of test is highly related to the number of faults that can be detected during the testing (fault coverage) and the defect probability of each testable unit. High test quality is reached by applying an excessive number of good test vectors, however, such a high test data volume can be problematic to fit in the ATE’s (automatic test equipment)(More)
Testing is used to ensure production of high quality integrated circuits. High test quality implies the application of high quality test data; however, technology development has led to a need to increase test data volumes to ensure high test quality. The problem is that the high test data volume leads to long test application times and high automatic test(More)
The increasing test data volume required to ensure high test quality when testing a System-on-Chip is becoming a problem since it (the test data volume) must fit the ATE (Automatic Test Equipment) memory. In this paper, we (1) define a test quality metric based on fault coverage, defect probability and number of applied test vectors, and (2) a test data(More)
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