CPC G06F 11/366 (2013.01) [G06F 11/362 (2013.01); G06N 5/045 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A method for automatically determining whether a detected issue in a computing system is a bug, comprising:
receiving, in association with a source code test, information about the detected issue;
generating a feature vector for the detected issue based on the information received;
providing the feature vector to an evaluation component, the evaluation component including at least one machine learning model trained to determine whether the feature vector is indicative of a bug of a given type;
determining, at the evaluation component, a probability that feature vector is indicative of the bug of the given type by analyzing the feature vector; and
receiving an output from the evaluation component, the output indicating a probability that the detected issue is a result of a bug of the given type.
|