Learning based incident or defect resolution, and test generation

A computer implemented method for learning based incident or defect resolution, and test generation comprising:

• ascertaining historical log data that includes existing tests;
• generating, based on the historical log data, step action graphs;
• generating, based on grouping of the step action graphs with respect to different tests, a test action graph for each of the different tests;
• generating a machine learning model based on an analysis of the historical log data with respect to each of the test action graphs corresponding to the different tests;
• generating, based on an analysis of the machine learning model with respect to a new test related to software, an output that includes a sequence of test steps to perform the new test to identify defects in the software;
• and
• identifying, in the generated output that includes the sequence of test steps to perform the new test to identify defects in the software, a defect in the software.

A non-transitory computer readable medium having stored thereon machine readable instructions, the machine readable instructions, when executed by at least one hardware processor, cause the at least one hardware processor to:

• ascertain historical log data that includes incident or defect log data associated with operation of a process;
• generate, based on the historical log data, step action graphs;
• generate, based on grouping of the step action graphs with respect to different incident and defect tickets, an incident and defect action graph for each of the incident and defect tickets;
• generate a machine learning model based on an analysis of the historical log data with respect to each of the incident and defect action graphs corresponding to the incident and defect tickets;
• learn non-linear action patterns to resolve an incident or defect from the historical log data;
• and
• generate, based on an analysis of the machine learning model with respect to a new incident or defect and the non-linear action patterns, an output that includes a sequence of actions to at least one of reproduce, for the new incident, steps that result in the new incident, reproduce, for the new defect, an error that results in the new defect, identify a root cause of the new incident or defect, or resolve the new incident or defect.