CPC G06N 5/04 (2013.01) [G06F 11/3692 (2013.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A computer-implemented method for analyzing test result failures using artificial intelligence models, the method comprising:
clustering failed tests in one or more sets of test failure groups into a set of clusters;
identifying a root cause failure for each cluster in said set of clusters;
training a first machine learning model to predict a root cause of an unclassified failure based on identifying said root cause failure for each cluster in said set of clusters; and
predicting said root cause of said unclassified failure using said first machine learning model.
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