Research summary for dynamic detection of program invariants

Michael D. Ernst
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引用次数: 1

Abstract

Explicitly stated program invariants can help programmers by identifying program properties that must be preserved when modifying code; invariants also play a number of other valuable roles in program development and evolution. In practice, however, these invariants are usually implicit. An alternative to expecting programmers to fully annotate code with invariants is to automatically infer invariants from the program itself. This research aims to develop and evaluate dynamic techniques for discovering invariants from execution traces. Our hypothesis is that such techniques are effective at extracting invariants from programs and that the extracted invariants are useful to programmers. Experiments with our prototype implementation provide preliminary support for this hypothesis.
程序不变量动态检测研究综述
显式声明的程序不变量可以帮助程序员识别修改代码时必须保留的程序属性;不变量在程序开发和进化中还扮演着许多其他有价值的角色。然而,在实践中,这些不变量通常是隐式的。期望程序员用不变量完全注释代码的另一种选择是从程序本身自动推断不变量。本研究旨在开发和评估从执行轨迹中发现不变量的动态技术。我们的假设是,这种技术在从程序中提取不变量方面是有效的,并且提取的不变量对程序员是有用的。我们的原型实现实验为这一假设提供了初步的支持。
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