Abstract: An automation testing system includes a processor and a memory storing historical data which at least comprising past test results including input parameters and testing outcomes for each test case included in the past test results. The processor is configured to identify input parameters for a first iteration of a first software application having first functionalities; execute an initial test on the first iteration to generate initial results; based on the input parameters and the initial results, collecting first historical data at least comprising first past test results for at least one second software application having second functionalities corresponding to the first functionalities; training a model employing AI or ML based on the initial results and the first historical data to generate a trained model; executing the trained model with the input parameters as input to generate a set of test cases for testing the first functionalities.

Abstract: An example may involve obtaining structured data that is characterized by a notification format; processing the structured data to determine a mapping between one or more fields of the notification format and one or more fields of a database schema, wherein the database schema is characterized by a database format; translating a notification from the notification format into the database schema according to the mapping; and storing the translated notification into a database that operates according to the database schema.