The Role of Abstract Interpretation in Formal Methods

P. Cousot
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引用次数: 6

Abstract

In computer science and software engineering, formal methods are mathematically-based techniques for the specification, development and verification of software and hardware systems. They therefore establish the satisfaction of a specification by a system semantics. Abstract interpretation is a theory of sound approximation of mathematical structures, in particular those involved in the description of the behavior of computer systems. It allows the systematic derivation of sound methods and algorithms for approximating undecidable or highly complex problems in various areas of computer science (semantics, verification and proof, model- checking, static analysis, program transformation and optimization, typing, software steganography, etc.). Its main current application is on the safety and security of complex hardware and software computer systems.
抽象解释在形式化方法中的作用
在计算机科学和软件工程中,形式化方法是基于数学的技术,用于软件和硬件系统的规范、开发和验证。因此,它们通过系统语义建立了对规范的满足。抽象解释是一种对数学结构进行合理近似的理论,特别是那些涉及计算机系统行为描述的理论。它允许系统地推导出可靠的方法和算法,用于近似计算机科学各个领域(语义,验证和证明,模型检查,静态分析,程序转换和优化,打字,软件隐写等)中不可确定或高度复杂的问题。它目前的主要应用是复杂的计算机硬件和软件系统的安全与保障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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