Kwangheun Yi, Seoul National University
Scalable Global Static Analysis, Validation, and Secrecy

Though static analysis is widely deployed in practice (verification, bug-finding, maintenance, optimizations, and etc.), it is still of limited use. Developing an impactful static analyzer is difficult. Depending on its deployment models, every static analysis needs to strike a different balance between its soundness, scalability, and precision. Our position is that sound and scalable analyzers whose precision is open as a parameter can be automatically available at least for C-like languages. I will first present our general sparse analysis framework to achieve sound, scalable, semanti-based global analysis (to globally analyze million-line C programs in about 10 hours). Given a static analysis definition as a fixpoint computation of an approximate semantics of the input program, the sparse framework guides you how to make it scalable without compromising the analysis precision. Then I will introduce our ZooBerry system to automatically implement this sparse techniques inside static analyzers. From a high-level approximate semantics definition of a C-like language and its soundness Coq proof, ZooBerry automatically generates a sparse static analyzer and its verified validator. Lastly, I will discuss static analysis of encrypted programs, to help sw developers enjoy static analysis service in clouds.