Evaluating and remediating source code variability

This idea aims to make computer programs run more predictably. It works by first examining the program's code to identify its individual sections and their types. Then, it runs the program, collecting data on how each section performs. If a section's performance varies too much, it receives a high 'variability score,' and the system then attempts to fix that specific part of the code.

Why it matters: Filed before the widespread integration of advanced AI, particularly Large Language Models, into software development workflows. By 2026, LLMs are far more capable of understanding code context and generating 'suitable alternative' code portions for automatic remediation, as suggested in claim 2.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedComplex software logic, static/dynamic analysis engines.

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10