This invention is a way to understand how a computer program will work internally before you even run it. It takes the program's code and structural details to build a kind of map, called an abstract graph, showing all its parts and how they relate. From this map, it then creates a predicted runtime graph, which shows how the program's pieces will interact and contain each other when it's actually running. The claims specifically narrow this to creating a representation of the true runtime object graph from a static computer program module.
Why it matters: Software architectures have become vastly more complex since 2008, making it harder to understand runtime behavior from static code. Advances in static analysis tools and AI for code understanding could now automate or enhance the graph generation process described.
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