Відео

The final step of the software FMEA is tracking the failure modes/root causes to closure and updating the likelihood if/when the CDE is fixed, controlled and a test procedure is developed to ensure that any failure is detectable in development/test. The critical items list can be generated by hazard number or by severity level or both.

In this step the mitigations for each of the relevant CDEs are assessed. The migitations include adding or changing specifications, design, code and/or test procedures. Mitigations are not analyzed from the user point of view with the exception of identifying changes to the user manual. Mitigations are for the development and test team.

In this step the likelihood is reviewed. Requs Software FMEA auto calculates the likelihood of each CDE based on the answers provided in the survey tab. The analysts can override these if there is justification. The compensating provisions are also assessed. In our example, there weren't many compensating provisions because the user cannot be assumed to be either home or looking at the thermostat.

In this step the effects of each applicable CDE are analyzed. The hazards are tagged to the list of hazards created in step 1.

This video shows the Requs AI Predict software FMEA feature completing the second step of the FMEA process which is to identify the hazards, states, hardware elements and communications.

This video shows the software FMEA after the product information and survey tab is completed in Requs AI predict

The initial step of 7 steps of the FMEA is illustrated using Requs Software FMEA,

This is the second part of the Requs AI Predict Dashboard predictions

This video illustrates the prediction results for the Requs AI Predict software.

Requs AI Predict Software FMEA is the only software tool that intelligently generates the software failure modes effects analysis worksheet. It assesses the failure modes and root causes that are relevant for the software under analysis, assesses the likelihood of failure based on our database of failure modes and root causes, and provides recommendations for preventive measures and corrective ...

Requs AI Predict software which is a machine learning software that predicts software defects before the code is even written. This video illustrates the advanced sensitivity feature. The reliability, scope of software, corrective action time, test hours and engineering cycle time can be balanced to produce the optimal software release schedule that provides maximum capabilities with the fewest...

Requs AI Predict is the only software to predict software defects before the code is written using a machine learning model. This demonstration shows the factors that are correlated to software defects, the machine learning model predictions, the confidence of those predictions, the reliability growth predictions over multiple sprints/increments and the sensitivity analysis.

SFMEA Toolkit Tutorial

Software Reliability Benchmarking

Software FMEA

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