| 摘要 |
This disclosure relates generally to software testing, and more particularly to a system and method for optimizing testing of software production incidents. In one embodiment, the method comprises analyzing an incident ticket using a machine learning algorithm to identify one or more keywords in the incident ticket, and identifying a location of the incident ticket based on the one or more keywords, a test workspace corresponding to the incident ticket based on the location, and a plurality of specific test cases corresponding to the incident ticket based on the test workspace. The identification leads to a first scenario and a second scenario. In the first scenario, the method further comprises initiating a learning process based on intelligence gathered from a manual processing of the incident ticket. In the second scenario, the method further comprises executing the plurality of specific test cases in a test environment. |
