Method and system for software enhancement and management

A software enhancement and management system, comprising:

• a memory;
• a processor operatively coupled with the memory, wherein the processor is configured to execute program code to:
• input one or more data transformation algorithms, wherein the one or more data transformation algorithms do not include software application source code;
• simulate behavior of the one or more data transformation algorithms to determine which of the one or more data transformation algorithms to decompose, and decompose the one or more data transformation algorithms into sets of time-affecting linear pathways (TALPs), wherein each TALP is associated with input variable attribute value ranges and timings;
• select one or more TALPS based on acceptance criteria including input and output value ranges and timings;
• construct a time complexity estimation polynomial and a space complexity estimation polynomial for each of the selected one or more TALPs decomposed from the one or more data transformation algorithms by executing each of the one or more selected TALPs using each value in a set of initial input control values from the one or more TALP-associated input variable attribute value ranges, such that a specific time complexity estimation polynomial and a specific space complexity estimation polynomial are associated with each of the selected one or more TALPs and stored in a TALP pool;
• model outcomes with actual expected input data values using the specific time complexity estimation polynomial and the specific space complexity estimation polynomial from the TALP pool associated with the selected one or more TALPs;
• and
• define TALP groupings for solution sets including optimized and discretized modeled outcomes.

A method of software enhancement and management, comprising:

• receiving one or more data transformation algorithms and simulating behavior of the one or more data transformation algorithms to determine decomposition of the one or more data transformation algorithms, wherein the one or more data transformation algorithms do not include software application source code;
• decomposing the one or more data transformation algorithms into a plurality of time-affecting linear pathways (TALPs);
• determining if one or more of the plurality of TALPs meet an acceptance criteria with certain input and output values and timings;
• gathering the determined one or more of the plurality of TALPs for processing;
• generating time complexity estimation polynomials and space complexity estimation polynomials for the plurality of TALPs decomposed from the one or more transformation algorithms by executing the plurality of TALPs using each value in a set of initial input control values from associated input variable attribute value ranges, such that each of the plurality of TALPs with a specific associated time complexity estimation polynomial and a specific space complexity estimation polynomial are stored in a TALP pool;
• and
• spreading one or more input data variable values over stored TALPs from the TALP pool to discretize and optimize outputs to reach a predetermined goal.