Resource analysis

Thesis Proposal: Hybrid Resource-Bound Analysis of Programs

Resource-bound analysis aims to infer symbolic bounds of worst-case resource usage (e.g., running time, memory, and energy) of programs as functions of program inputs. Resource analysis has numerous applications, including job scheduling in cloud …

Robust Resource Bounds with Static Analysis and Bayesian Inference (PLDI 2024)

There are two approaches to automatically deriving symbolic worst-case resource bounds for programs: static analysis of the source code and data-driven analysis of cost measurements obtained by running the program. Static resource analysis is …

Worst-Case Input Generation for Concurrent Programs Under Non-Monotone Resource Metrics (LMCS 2024)

Worst-case input generation aims to automatically generate inputs that exhibit the worst-case performance of programs. It has several applications, and can, for example, detect vulnerabilities to denial-of-service attacks. However, it is non-trivial …