Determining Configurations to be Used in System Testing Processes Using Machine Learning Techniques

A non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device:

• to obtain, from multiple data sources, configuration information associated with at least one system;
• to filter out a subset of the configuration information based at least in part on at least one user request related to testing of at least a portion of the at least one system;
• to determine at least a portion of the subset of the configuration information to be used in the testing of the at least a portion of the at least one system by processing the subset of the configuration information using one or more machine learning techniques;
• and
• to perform one or more automated actions based at least in part on the determined at least a portion of the subset of the configuration information to be used in the testing.

An apparatus comprising:

• at least one processing device comprising a processor coupled to a memory;
• the at least one processing device being configured:
• to obtain, from multiple data sources, configuration information associated with at least one system;
• to filter out a subset of the configuration information based at least in part on at least one user request related to testing of at least a portion of the at least one system;
• to determine at least a portion of the subset of the configuration information to be used in the testing of the at least a portion of the at least one system by processing the subset of the configuration information using one or more machine learning techniques;
• and
• to perform one or more automated actions based at least in part on the determined at least a portion of the subset of the configuration information to be used in the testing.