Assessing and improving quality of event logs including prioritizing and classifying errors into error-perspective and error-type classifications

Abstract

Systems and methods receive manually created event logs that include manually entered data of executed processes, and such systems and methods automatically identify errors in the event logs (based on whether the data violates expected log content). The systems and methods classify the errors, prioritize the event logs into a priority order (based on a previously established error priority ranking), and output the event logs classified into different classifications (and in priority order). The systems and methods receive feedback in order to alter the priority order and the different classifications of the event logs. Further, these systems and methods automatically generate recommendations to correct the errors, using different recommendation processes based on the classifications of the errors. The event logs are output in the different classifications and in the priority order, and the locations of the errors within the event logs are identified by the systems and methods herein.