An integrated-circuit testing model (DITM) is used to describe various factors that affect test yield during a test process. We used a probability distribution model to evaluate test yield and quality and introduced a threshold test and a guardband test. As a result of the development speed of the semiconductor manufacturing industry in the future being unpredictable, we use electrical properties of existing products and the current manufacturing technology to estimate future product-distribution trends. In the development of very-large-scale integration (VLSI) testing, the progress of testing technology is very slow. To improve product testing yield and quality, we change the test method and propose an unbalanced-test method, leading to improvements in test results. The calculation using our proposed model and data estimated by the product published by the IEEE International Roadmap for Devices and Systems (IRDS, 2017) proves that the proposed unbalanced-test method can greatly improve test yield and quality and achieve the goal of high-quality, near-zero-defect products.
In the past 20 years, semiconductor manufacturing technology has advanced rapidly, but the advancement of integrated circuit (IC) testers has been slow. Using obsolete testers to inspect advanced wafers has become a significant challenge for test manufacturers. In this research, we used DITM (digital IC testing model) to discuss the impact of the test guardband (TGB) on quality and yield. Considering the interaction between semiconductor fabrication capability parameters and test capability parameters, we proposed an estimation method [deductive estimation method (DEM)] to analyze the electrical distribution changes of products after chip production and deduce the yield of future products. The deductive estimation method can correctly depict the future test yield [Formula: see text] curve using the chip frequency data published by IRDS (International Roadmap for Devices and Systems) in 2017. Furthermore, test manufacturers can measure whether the current test capabilities can cope with future semiconductor chip manufacturing capabilities by predicting the trends. Next, test manufacturers can maintain high-quality and high-yield chip output by pre-adjusting the hardware testing capabilities of ATE (automated test equipment) or proposing more effective chip testing methods.
In this work, we use statistical concepts to evaluate the joint probability distribution of manufacturing and test parameters and estimate the future trend of wafer test yield. Owing to the difference between the development speeds of testing technology and manufacturing technology, the testing capability of wafers is far behind the manufacturing capability of the semiconductor. Therefore, with the advancement in technology, the test yield loss caused by the tester inaccuracy has become an important problem. In this article, we propose an enhanced integrated circuit (IC) test scheme (ITS) that uses multiplex testing to improve test quality and test pass rate by retesting, and we rely on the cost evaluation mechanism to obtain the best test and the best profit. Furthermore, the International Roadmap for Devices and Systems (IRDS) 2017 data are used to estimate future test yield trends, and the results prove that the enhanced test scheme (ETS) can effectively estimate the best retest time to obtain the best test yield and the best profit.
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