Machine learning test result analyzer for identifying and triggering remedial actions
Abstract:
Apparatus and methods for using artificial intelligence to process and remediate test failures are provided. The methods may include monitoring an execution of an automated test on a software application. The automated test may include a plurality of steps. The methods may include receiving a first error message and a second error message during the execution of a step included in the plurality of steps. The methods may include processing each of the first and second error messages individually and, after completion of the step, again as a group. The processing may include determining if the error messages were generated by a defect in the software application.
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