System and method for identifying a subset of total historical users of a document preparation system to represent a full set of test scenarios based on code coverage

A method for generating efficient training sets for testing new processes for preparing electronic documents for users of an electronic document preparation system, the method comprising:

• receiving new calculation data related to a new calculation for preparing electronic documents for users of an electronic document preparation system;
• requesting code coverage data indicating, for a plurality of historical users of the electronic document preparation system, sections of software instructions executed for the historical users;
• generating grouping data including groups of historical users based on the sections of software instructions executed for the historical users;
• generating training set data by sampling, from each group in the grouping data, one or more historical users.

A method for generating efficient training sets for testing new processes for preparing electronic documents for users of an electronic document preparation system, the method comprising:

• receiving new calculation data related to a new calculation for generating data values for preparing electronic documents for users of an electronic document preparation system;
• retrieving historical user data including electronic documents previously prepared for a plurality of historical users;
• executing software instructions for preparing electronic documents with the historical user data;
• generating, for each historical user, trace log data indicating sections of the software instructions that were executed for the historical users;
• generating grouping data including a plurality of groups of historical users based on the sections of the software instructions executed for the historical users;
• and
• generating training set data by sampling, from each group in the grouping data, one or more historical users.

A system for generating efficient training sets for testing new processes for preparing electronic documents for users of an electronic document preparation system, the system comprising:

• at least one processor;
• and
• at least one memory coupled to the at least one processor, the at least one memory having stored therein instructions which, when executed by any set of the one or more processors, perform a process including:
• receiving new calculation data related to a new calculation for preparing electronic documents for users of an electronic document preparation system;
• requesting code coverage data indicating, for a plurality of historical users of the electronic document preparation system, sections of software instructions executed for the historical users;
• generating grouping data including groups of historical users based on the sections of software instructions executed for the historical users;
• generating training set data by sampling, from each group in the grouping data, one or more historical users.

A system for generating efficient training sets for testing new processes for preparing electronic documents for users of an electronic document preparation system, the system comprising:

• at least one processor;
• and
• at least one memory coupled to the at least one processor, the at least one memory having stored therein instructions which, when executed by any set of the one or more processors, perform a process including:
• receiving new calculation data related to a new calculation for generating data values for preparing electronic documents for users of an electronic document preparation system;
• retrieving historical user data including electronic documents previously prepared for a plurality of historical users;
• executing software instructions for preparing electronic documents with the historical user data;
• generating, for each historical user, trace log data indicating sections of the software instructions that were executed for the historical users;
• generating grouping data including a plurality of groups of historical users based on the sections of the software instructions executed for the historical users;
• and
• generating training set data by sampling, from each group in the grouping data, one or more historical users.