Code interdependency analysis system

A non-transitory computer-readable storage medium, the computer-readable storage medium storing instructions that when executed by a processor, cause the processor to perform operations comprising:

• receiving from a client device, a program, wherein the program is a software project or software code base that comprises a plurality of modules;
• extracting the plurality of modules from the program;
• generating a plurality of frequency tables associated with the plurality of modules, wherein the frequency tables include a plurality of numbers of imports associated with the modules, and a plurality of import ratios associated with the modules;
• generating, based on the frequency tables, a histogram of the modules and the import ratios;
• generating a plurality of key statistical measures based on the import ratios and the histogram, wherein generating the key statistical measures comprises:
• determining histogram weights,
• determining a Pareto fit of the histogram, and
• generating a reuse metric based on the Pareto fit and a Kurtosis of the histogram weights;
• and
• causing testing of a least used module in the modules or a most used module in the modules, wherein the least used module and the most used module are identified based on the reused metric.

A system comprising:

• a processor;
• and
• a memory storing instructions that, when executed by the processor, causes the system to perform operations comprising:
• receiving from a client device, a program, wherein the program is a software project or software code base that comprises a plurality of modules;
• extracting the plurality of modules from the program;
• generating a plurality of frequency tables associated with the plurality of modules, wherein the frequency tables include a plurality of numbers of imports associated with the modules, and a plurality of import ratios associated with the modules;
• generating, based on the frequency tables, a histogram of the modules and the import ratios;
• generating a plurality of key statistical measures based on the import ratios and the histogram, wherein generating the key statistical measures comprises:
• determining histogram weights,
• determining a Pareto fit of the histogram, and
• generating a reuse metric based on the Pareto fit and a Kurtosis of the histogram weights;
• and
• causing testing of a least used module in the modules or a most used module in the modules, wherein the least used module and the most used module are identified based on the reused metric.