Comparing and validating measurements of dependability attributes

Our observations indicate that, even though the outcome of many individual experiments is affected by uncertainties, the three techniques produce similar average results over a large number of experiments.

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This paper investigates sources of uncertainty in measurement results obtained using three different fault injection techniques.

The objective of the experiments is to determine whether the results of the different techniques are metrologically compatible and, consequently, meaningful when disseminated and compared.

Our observations indicate that, even though the outcome of many individual experiments is affected by uncertainties, the three techniques produce similar average results over a large number of experiments.

The difficulty in providing a convincing defense for the use of the Gauge R&R is not due to a lack of experience in the field, this is not a new or innovative tool.

Gauge R&R methods have been on the engineering scene for decades, the method’s structure, objectives, and faults are well understood.

Process Validation programs understand that before equipment is qualified or processes can be validated, a data driven understanding of the process parameters, the potential control points, and their effect on the critical quality attributes of the process must be developed.

Due to the uncertainties associated with the techniques, which we identify and discuss, the results of injecting a given fault may differ to some extent.

The paper analyzes the results of using the three techniques to inject faults into two experimental targets: a brake-by-wire controller and a partitioning operating system.

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Later on when they were shut down by a decision of higher management at Yahoo Inc.

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