A Deductive Verification Infrastructure for Probabilistic Programs
Offered By: ACM SIGPLAN via YouTube
Course Description
Overview
Explore a groundbreaking deductive verification infrastructure for discrete probabilistic programs in this 17-minute conference talk from OOPSLA2 2023. Delve into the development of a quantitative program verification system, analogous to Boogie, featuring an intermediate verification language (IVL) and real-valued logic. Discover how this infrastructure enables verification of quantitative properties such as expected outcomes, run-times, and termination probabilities. Learn about the paradigm shift from Boolean to real-valued domain and the implementation of quantitative generalizations of standard verification constructs. Examine the weakest-precondition-style semantics used for generating verification conditions and understand how this system supports various verification techniques from existing literature. Gain insights into the SMT-based implementation and its application in automatically verifying diverse benchmarks, marking a significant advancement in expectation-based reasoning for probabilistic programs.
Syllabus
[OOPSLA23] A Deductive Verification Infrastructure for Probabilistic Programs
Taught by
ACM SIGPLAN
Related Courses
Human Computer InteractionIndependent Introduction à la logique informatique - Partie 2 : calcul des prédicats
Université Paris-Saclay via France Université Numerique System Validation (4): Modelling Software, Protocols, and other behaviour
EIT Digital via Coursera Formal Software Verification
University System of Maryland via edX Principles of Secure Coding
University of California, Davis via Coursera