Titlebook: Verification, Model Checking, and Abstract Interpretation; 11th International C Gilles Barthe,Manuel Hermenegildo Conference proceedings 20

Flatus

Nutrient

Interpolant Strengthhe logical strength of the obtained interpolants. Interpolants of different strength can also be obtained by transforming a resolution proof. We analyse an existing proof transformation, generalise it, and characterise the interpolants obtained.

弓箭

Mirage

HEED

disrupt

Verifying Concurrent Programs with Chaliceuage Chalice makes this explicit by requiring every data access to be justified with a sufficient set of permissions. Permissions can be transferred between threads and can be stored in the heap. The programming language includes specification constructs for describing data invariants and permission

巨大沒(méi)有

Static Timing Analysis for Hard Real-Time Systemsunds on tasks’ execution times. Processor components such as caches, out-of-order pipelines, and speculation cause a large variation of the execution time of instructions, which may induce a large variability of a task’s execution time. The architectural platform also determines the precision and th

雪白

Abstract Interpretation-Based Protectionhension of code’s structure and behaviour are deep semantic concepts, which depend on the relative degree of abstraction of the observer, which corresponds precisely to program semantics. In this tutorial we show that abstract interpretation can be used as an adequate model for developing a unifying

stressors

effrontery

Building a Calculus of Data Structureslas in expressive logics. Programs and their specifications often make use of data structures such as sets, multisets, algebraic data types, or graphs. Consequently, formulas generated from verification also involve such data structures. To automate the proofs of such formulas we propose a logic (a