Abstract Interpretation
Abstract Interpretation is a theory used in computer science to analyze programs by approximating their behaviors. It allows for the evaluation of program properties without executing the code, helping to identify potential errors or vulnerabilities. This technique simplifies complex program states into more manageable representations, making it easier to reason about the program's correctness.
The method works by creating an abstract model of the program, which captures essential information while ignoring irrelevant details. By analyzing this model, developers can infer properties like variable ranges or control flow paths, leading to improved software reliability and safety.