Systems and methods for legacy source code optimization and modernization

A system comprising:

• a non-transitory machine-readable media configured to store a plurality of software programs;
• and
• a computer comprising a processor coupled to the non-transitory machine-readable media and configured to:
• launch a process of a software program of the plurality of software programs, thereby executing a plurality of machine-readable functions of the software program to generate a performance profile of the software;
• identify a subset of functions for refactoring in the plurality of functions, the subset of functions corresponding to one or more performance attributes based upon the performance profile of the software;
• identify one or more refactoring options for source code of at least one function of the subset of functions by applying a machine-learning model on the source code of each function in the subset of functions, the machine-learning model trained according to the one or more performance attributes to identify each function in the subset of functions;
• update a graphical user interface to display the one or more refactoring options for the subset of functions, including:
• identifying, by the machine-learning model, one or more code violations in the source code of the at least one function of the subset of functions according to a set of code violation patterns corresponding to the one or more performance attributes, and
• the one or more refactoring options comprising at least one change to the source code of the at least one function of the subset of function to correct the one or more code violation in the source code of the at least one function in the subset of functions;
• refactor the source code of the at least one function of the subset of functions based upon a selected refactoring option received via the graphical user interface.