Generating points-to relations using language models

A system comprising:

• at least one computer processor;
• and
• an application that, when executing on the at least one computer processor, performs operations comprising:
• executing a preprocessing session using one or more language models to process source code using one or more preprocessing prompts to generate metadata from the source code;
• executing an analysis session using the one or more language models to process the metadata using an analysis prompt to generate a points-to report for the source code from the metadata;
• and
• executing an evaluation session using the one or more language models to process the points-to report and normalized code from the metadata using an evaluation prompt to generate a revised points-to report comprising a confidence score for an entry in the points-to report.

A non-transitory computer readable medium comprising instructions executable by at least one computer processor to perform:

• executing a preprocessing session using one or more language models to process source code using one or more preprocessing prompts to generate metadata from the source code;
• executing an analysis session using the one or more language models to process the metadata using an analysis prompt to generate a points-to report for the source code from the metadata;
• and
• executing an evaluation session using the one or more language models to process the points-to report and normalized code from the metadata using an evaluation prompt to generate a revised points-to report comprising a confidence score for an entry in the points-to report.