Adaptive efficient and prioritized approaches for integrated circuit testing
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Abstract
The complexity of modern integrated circuits (ICs) presents
newlinemany challenges when testing them. These challenges include higher costs
newlineand more extended testing times, which can significantly impact the
newlineefficiency and cost-effectiveness of IC manufacturing. It is, therefore,
newlineessential to find innovative solutions to reconcile the conflicting demands of
newlinerigorous IC testing and the constraints of available resources, such as time
newlineand budget. One of the main challenges associated with testing ICs is the
newlineproliferation of test patterns. This is a direct result of the increasing
newlinecomplexity of ICs, which requires many test patterns to ensure
newlinecomprehensive testing. However, this leads to two interconnected problems:
newlinelonger testing times and higher testing costs. Traditional testing methods that
newlineinvolve applying each test pattern sequentially are no longer sustainable as
newlineICs become more complex. Exhaustive testing can account for a significant
newlineproportion of the overall project cost, ranging from 30% to 50%.
newlineTo address these challenges, researchers have explored the
newlinepotential of adaptive testing (AT) and test pattern reordering as innovative
newlinesolutions. These approaches prioritize the most effective test patterns,
newlineenhancing error detection rates while minimizing resource-intensive testing.
newlineWithin the realm of AT, two primary strategies are employed: the selection
newlineof optimal test patterns and the rearrangement of the test pattern order. These
newlinestrategies expedite the identification of faulty ICs, effectively reducing test
newlinetimes and costs.
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