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Explore a 17-minute video presentation from the SOAP 2024 conference that introduces a more precise approximation for interleaved Dyck reachability. Delve into the challenges of context- and field-sensitive static analysis, and discover how the presenters extend the mutual-refinement algorithm to achieve higher precision. Learn about the development of refined CFLs for expressing each type of sensitivity and the application of on-demand analysis to mask out irrelevant graph parts. Examine the experimental results showing significant improvements over existing approaches, with a focus on a challenging benchmark where the new method achieves 51% reduction in reachable pairs compared to recent alternatives.
