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

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樓主: 使作嘔
21#
發(fā)表于 2025-3-25 06:38:22 | 只看該作者
Temporal Reasoning for Procedural Programslar reasoning about procedural programs. We address this issue by defining the semantics of procedural (potentially recursive) programs using . and developing a framework for temporal reasoning around it. This generalization has two benefits. First, this style of reasoning naturally unifies Manna-Pn
22#
發(fā)表于 2025-3-25 10:16:47 | 只看該作者
23#
發(fā)表于 2025-3-25 12:50:34 | 只看該作者
Path-Oriented Reachability Verification of a Class of Nonlinear Hybrid Automata Using Convex Programof-the-art tools can only analyze systems with few continuous variables and simple dynamics. Because the reachability problem for general hybrid automata is undecidable, we give a path-oriented reachability analysis procedure for a class of nonlinear hybrid automata called .. Our approach encodes th
24#
發(fā)表于 2025-3-25 19:04:22 | 只看該作者
25#
發(fā)表于 2025-3-25 20:24:44 | 只看該作者
An Abstract Domain to Discover Interval Linear Equalitieslts from interval linear algebra. The representation of . is based on a row echelon system of interval linear equalities, which natively allows expressing classical linear relations as well as certain topologically non-convex (even unconnected or non-closed) properties. The row echelon form limits t
26#
發(fā)表于 2025-3-26 03:33:29 | 只看該作者
27#
發(fā)表于 2025-3-26 04:22:35 | 只看該作者
Checking Bounded Reachability in Asynchronous Systems by Symbolic Event Tracingdifference logic. The analysis is bounded by fixing a finite set of potential events, each of which may occur at most once in any order. The events are specified using high-level Petri nets. The proposed logic encoding describes the space of possible causal links between events rather than possible
28#
發(fā)表于 2025-3-26 10:32:38 | 只看該作者
Invariant and Type Inference for Matricesir shapes (also called types), such as upper-triangular, diagonal, etc. To generate loop properties, we first transform a nested loop iterating over a multi-dimensional array into an equivalent collection of unnested loops. Then, we infer quantified loop invariants for each unnested loop using a gen
29#
發(fā)表于 2025-3-26 14:39:54 | 只看該作者
Deriving Invariants by Algorithmic Learning, Decision Procedures, and Predicate Abstractionopositional formulae. Given invariant approximations derived from pre- and post-conditions, our new technique exploits the flexibility in invariants by a simple randomized mechanism. The proposed technique is able to generate invariants for some Linux device drivers and SPEC2000 benchmarks in our ex
30#
發(fā)表于 2025-3-26 18:38:42 | 只看該作者
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