Dell Products Inc.

Dong Ji

Shibi Panikkar

Shanir Anshul

Xiang Cao

Sudeshna Dash

Tuck Meng Chin

In product testing, a script prioritization tool () is used to intelligently prioritize the execution sequence of test scripts. This tool creates a repository of test outputs from the executions of test scripts and analyzes the outputs to train and deploy a machine learning, ML, model that defines the priority of the scripts that may need to be executed and the scripts whose execution may be skipped without affecting the quality of testing. Scripts that are more likely to fail and/or are time consuming to execute are prioritized, while other scripts may be skipped. The ML model ranks the scripts based on the average execution time of the script, a count of the execution failures of the script, a count of the number of execution retries for the script, and the most recent failure time of the script. The scripts can be executed based on their rankings for efficiency and time-saving.

Smart selection of test scripts for commodity testing on manufacturing floor

A system for testing electrical components comprising a supplier test system operating on a first processor and configured to generate test data for a component and to store the component test data on a block chain. A board level test system operating on a second processor and configured to generate test data for a board and to store the board test data on the block chain. A test tracking system configured to request a first key to access to the component test data and a second key to access the board test data and to store the first key and the second key.

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Shanghai, China

Dong Ji