white paper

Overcoming Systematic Yield Limiters with Diagnosis-Driven Yield Analysis

Overcoming Systematic Yield Limiters with Diagnosis-Driven Yield Analysis

Diagnosis-driven yield analysis (DDYA) is a technology that uses production test results, volume scan diagnosis, and statistical analysis to find the cause of yield loss in IC chips. It helps with yield ramp of new manufacturing processes, improving yield of mature processes, and meeting test quality standards for automotive ICs. You can build an effective yield analysis flow by combining highly accurate volume scan diagnosis in Tessent Diagnosis with visualization and statistical analysis in Tessent YieldInsight. Applying yield analysis based on volume scan diagnosis results that incorporate design layout and failure data, rather than relying on manufacturing process data alone, can reduce the cycle time to root cause of yield loss by 75-90%.

Share

Related resources

Enabling model-based design for DO-254 certification compliance
White Paper

Enabling model-based design for DO-254 certification compliance

The increasing prevalence and cost of projects that need to comply with the DO-254 standard is forcing companies to evaluate their development processes. This paper shows methodologies and a toolchain compliant with the standard.

How do you qualify tools for DO-254 programs?
White Paper

How do you qualify tools for DO-254 programs?

Terminology and requirements related to tool qualification for safety-critical programs governed by DO-254 compliance are descried in this paper.

Are you safe yet? Safety mechanism insertion and validation
White Paper

Are you safe yet? Safety mechanism insertion and validation

As functional safety becomes increasingly important in today's industrial and automotive designs, many legacy designs have to be “upgraded” to meet the safety goal of the system.