Isabelle/HOL下验证JVML/CLDC优化的指称语义模型

H. Yahyaoui, M. Debbabi, N. Tawbi
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引用次数: 2

摘要

本文的主要目的是提供一个用于验证jvm /CLDC优化的语义框架。该框架的语义风格是指涉的,并基于Gastin和Mislove[12]的资源集合语义的扩展。资源集合是一个完全抽象的语义模型,它基于真正的并发性。但是,它不支持在解释jvm /CLDC程序时出现的非确定性。在本文中,我们提出了该模型的扩展,旨在支持无界非确定性。更准确地说,我们给出了过程空间构造的概述,并展示了它的代数性质。精心设计的语义被嵌入到证明助手Isabelle[28]中,以验证JVML/CLDC程序的优化。最后给出了一个验证jvm /CLDC程序优化的实例研究。所研究的优化是:恒定传播和消除死分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Denotational Semantic Model for Validating JVML/CLDC Optimizations under Isabelle/HOL
The main intent of this paper is to present a semantic framework for the validation of JVML/CLDC optimizations. The semantic style of the framework is denotational and rests on an extension of the resource pomsets semantics of Gastin and Mislove [12]. The resource pomsets is a fully abstract semantic model that is based on true concurrency. However, it does not support non-determinism that emerges while interpreting JVML/CLDC programs. In this paper, we present an extension of this model that aims to support unbounded non-determinism. More precisely, we give an overview of the construction of the process space and exhibit its algebraic properties. The elaborated semantics is embedded in the proof assistant Isabelle [28] in order to validate optimizations of JVML/CLDC programs. A case study for the validation of some optimizations of JVML/CLDC programs is also presented. The studied optimizations are: constant propagation and dead assignment elimination.
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