Setting up Test benches/procedures according to related industry standards and/or standards defined by the customers. Showing accuracy and trust of test benches/procedures at customer/stakeholder level can be ensured by showing accuracy of tests of customer specific reference samples and showing that their test results do not differ compared to the tests at customer side.

I will use the Measurement System Analysis (MSA) which is a statistical method that evaluates the accuracy, precision, and stability of a measurement system: MSA is used to identify and quantify the sources of variation in a measurement process, such as the equipment, operators, and methods. MSA helps ensure that the data collected is accurate and the system is appropriate for the process. MSA typically involves a designed experiment that compares measurements to a master value, and compares measurements between operators. MSA is an important part of Six Sigma methodology and other quality management systems. It's used in manufacturing, where measurement and inspection are used to gather large amounts of information.

-To ensure accuracy and reliability you can do multiple level of validation like simulation validation, Hardware validation and vehicle level validation. -After validation documenting the results,it will help you understand the area needs focus on next time, or identify the bug.

To maintain accuracy and reliability in testing, start by aligning the test infrastructure early in the project. Define the necessary test benches and environments to ensure consistency. Ensure your test environments mirror those of stakeholders to eliminate discrepancies. Next, align maturity planning by defining software features for each release and ensuring testing is requirements-based. This guarantees that tests meet stakeholder expectations. Establish a clear scope for regression testing to protect existing functionalities and foster trust. Finally, collaborate with stakeholders on test report formats and frequency to ensure transparency. These strategies will enhance reliability and build stakeholder confidence.

To keep the trust in the testing procedures we'll need to have a strong base of data into the results, follow the standards and show the machine's precision (if that's the case). Reduce the human intervention to the minimum and have a good sample of proved results.