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A Model-Derivation Framework for Software Analysis

机译:软件分析的模型派生框架

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摘要

Model-based verification allows to express behavioral correctness conditionslike the validity of execution states, boundaries of variables or timing at ahigh level of abstraction and affirm that they are satisfied by a softwaresystem. However, this requires expressive models which are difficult andcumbersome to create and maintain by hand. This paper presents a framework thatautomatically derives behavioral models from real-sized Java programs. Ourframework builds on the EMF/ECore technology and provides a tool that createsan initial model from Java bytecode, as well as a series of transformationsthat simplify the model and eventually output a timed-automata model that canbe processed by a model checker such as UPPAAL. The framework has the followingproperties: (1) consistency of models with software, (2) extensibility of themodel derivation process, (3) scalability and (4) expressiveness of models. Wereport several case studies to validate how our framework satisfies theseproperties.
机译:基于模型的验证允许在高度抽象的情况下表达行为正确性条件,例如执行状态的有效性,变量的边界或时序,并确认它们已由软件系统满足。但是,这需要表达模型,这些模型很难手工创建和维护。本文提出了一个框架,该框架可从实际大小的Java程序自动导出行为模型。 Ourframework建立在EMF / ECore技术的基础上,并提供了一个工具,该工具可从Java字节码创建初始模型,以及一系列简化模型并最终输出可由模型检查器(如UPPAAL)处理的定时自动机模型的转换。该框架具有以下特性:(1)模型与软件的一致性;(2)模型推导过程的可扩展性;(3)可扩展性和(4)模型的表达性。我们报告了一些案例研究,以验证我们的框架如何满足这些特性。

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