POPL 2025 (series) / TPSA 2025 (series) / Theory and Practice of Static Analysis 2025 /
Enhancing Infer Compositional Analysis with Summary Specialization
Tue 21 Jan 2025 14:54 - 15:12 at Patty Cake - Static Analysis and Abstract Interpretation
The Infer industrial static analyser performs highly scalable interprocedural analysis thanks to compositional reasoning. This means that each procedure is given a summary, which is computed without knowledge of the possible call sites invariants in the whole program. Summary Specialization is a new technique we have recently introduced in Infer. It relaxes the obligation to not make no assumptions about call sites, but avoids imaginating too many useless call scenario, nor switching to a full-fledged global analysis. We will introduce this new technique and report on some experimental evalution we have done on the specific topic of closure resolution.
Tue 21 JanDisplayed time zone: Mountain Time (US & Canada) change
Tue 21 Jan
Displayed time zone: Mountain Time (US & Canada) change
14:00 - 15:30 | |||
14:00 18mTalk | Compositional Shape Analysis with Shared Abduction and Biabductive Loop Acceleration (Extended Abstract)Remote TPSA Florian Sextl TU Wien, Austria, Adam Rogalewicz Brno University of Technology, Czechia, Tomáš Vojnar Brno University of Technology, Florian Zuleger TU Vienna Pre-print | ||
14:18 18mTalk | Calculational design of Incorrectness Separation Logic TPSA Lorenzo Gazzella Università di Pisa | ||
14:36 18mTalk | Scalable Bug Detection for Internally Unsafe Libraries: A Logical Approach to Type Refutation TPSA Pedro Carrott Imperial College London, Sacha-Élie Ayoun Imperial College London, Azalea Raad Imperial College London | ||
14:54 18mTalk | Enhancing Infer Compositional Analysis with Summary Specialization TPSA David Pichardie Meta | ||
15:12 18mTalk | Cyclic Message Histories for Automated Safety Verification of Distributed Algorithms TPSA Christian Fontenot University of Colorado Boulder, Gowtham Kaki University of Colorado at Boulder, Bor-Yuh Evan Chang University of Colorado Boulder & Amazon |