Titlebook: Static Analysis; 24th International S Francesco Ranzato Conference proceedings 2017 Springer International Publishing AG 2017 abstract inte

Medley

Abstract Semantic Diffing of Evolving Concurrent Programs,ying on user-provided assertions. This approach compares two programs in terms of cross-thread interferences and data-flow, under a parametrized abstraction which can detect any difference in the limit. We introduce a partial order relation between these abstractions such that a program change that

minion

旧石器

Securing the SSA Transform, program is converted to an equivalent SSA form before it is optimized. The conversion may, however, create a less secure program if fresh SSA variables inadvertently leak sensitive values that are masked in the original program. This work defines a mechanism to restore a program to its original sec

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Progesterone

Loop Invariants from Counterexamples,to derive loop invariants for the path program corresponding to a given spurious counterexample. A path program is the smallest subprogram that still contains a given path in the control flow graph. We use the principle of trace abstraction to construct an overall proof. The key observation of our a

insurrection

A Context-Sensitive Memory Model for Verification of C/C, Programs, that splits memory into a finite set of disjoint regions based on a pointer analysis. The main contribution is a field-, array- and context-sensitive pointer analysis tailored to verification. We have implemented our memory model for the LLVM bitcode and used it on a C. case study and on SV-COMP be

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Effect Summaries for Thread-Modular Analysis,ristic that guesses candidates for stateless effect summaries of programs by searching the code for instances of a copy-and-check programming idiom common in lock-free data structures. These candidate summaries are used to compute the interference among threads in linear time. Since a candidate summ

调色板

Toward a Sound Analysis of Guarded LTI Loops with Inputs by Abstract Acceleration,ion of the linear transformer. Bounding the number of loop iterations involves interval-linear constraints. After identifying sources of over-approximation, we present some improvements over their method. First, we improve precision by using interval hulls in the Jordan parameters space instead of t

ABHOR

Scalable Minimizing-Operators on Polyhedra via Parametric Linear Programming, however barely used in verification because of their cost, often prohibitive as the number of variables involved increases. Our goal in this article is to lower this cost..Whatever the chosen representation of polyhedra – as constraints, as generators or as both – expensive operations are unavoidab

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