Dell Products Inc.

Hewlett Packard Enterprise Development LP

Jason Fay

Ramakanth Kanagovi

Guhesh Swaminathan

Saheli Saha

Vartan Yosef Kasheshian

Erick Armando Gomez

Sankunny Jayaprasad

Uchenna Edeh

Araiz Abdul Baqi

One example method includes acquiring data from a knowledge base that includes message codes indicating conditions that occurred during performance of one or more test runs of a computing operation, and the message codes are included in message code sequences, processing the data by mapping the message codes, and message codes included in a customer issue log, to codes that are readable by a machine learning process, transforming the data to generate an output that comprises, for each message code sequence, relationships between each of the message codes in that message code sequence, extracting features from the transformed data, and the extracting generates multiple datasets that include the features, performing a similarity comparison by comparing a customer field issue with the datasets, and based on the similarity comparison, identifying and recommending a solution to the customer field issue.

Machine learning method to rediscover failure scenario by comparing customer's server incident logs with internal test case logs

Techniques described herein relate to a method for performing testing operations for information handling systems. The method includes obtaining a test case from an information handling system; in response to obtaining the test case: obtaining log information associated with the test case from the information handling system; performing data preparation to generate processed subsequences using the log information; applying a plurality of prediction models to the processed subsequences and training data to generate anomalous subsequence predictions; generating ensemble anomaly scores and severity indexes associated with the processed subsequences using the anomalous subsequence predictions and the processed subsequences; making a determination that the ensemble anomaly scores and severity indexes associated with the processed subsequences result in detection of an anomalous subsequence; and in response to the determination: determining a next best test case associated with the anomalous subsequence; and initiating performance of the next best test case.

Method and system for performing testing operations for information handling systems

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Cedar Park, TX, United States of America

Jason Fay