What is the primary goal of Design for Testability (DFT) in PCB design?
Think about what helps engineers find problems quickly after the board is made.
DFT focuses on making the PCB easier to test and find faults, which helps reduce debugging time and improve quality.
You have a PCB with 100 nets. 80 nets have test points added for DFT. What is the test point coverage percentage?
Coverage is the number of nets with test points divided by total nets, times 100.
Coverage = (80 / 100) * 100 = 80%. This means 80% of nets have test points for testing.
Which type of dashboard visualization best helps engineers quickly identify failing test points on a PCB?
Think about a visualization that highlights problem areas spatially on the PCB.
A heatmap visually shows which test points fail most often, helping engineers focus on problem areas quickly.
Given the formula Coverage = (TestedNets / TotalNets) * 100, a report shows 120% coverage. What is the most likely cause?
Think about how counting errors can cause coverage to exceed 100%.
If TestedNets is counted with duplicates or errors, it can exceed TotalNets, causing coverage over 100% which is invalid.
You are designing a complex PCB with limited space for test points. Which DFT strategy best balances test coverage and physical constraints?
Consider methods that reduce physical test points but still allow thorough testing.
Boundary scan allows testing internal nets electronically, reducing the need for many physical test points and balancing space constraints with coverage.
