基于场景的规范可实现性检查的符号执行

Joel Greenyer, T. Gutjahr
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引用次数: 3

摘要

使用场景建模语言(SML)的基于场景的规范是形式化指定反应系统行为的一种直观方法。SML接近于人类构思和交流需求的方式,但SML是可执行的,模拟和正式的可实现性检查可以及早发现规范缺陷。然而,可实现性检查复杂度在场景和变量的数量上呈指数级增长。因此,依赖于显式状态探索的算法不能扩展,特别是当规范在大域上具有消息参数和变量时,无法发挥其潜力。在本文中,我们提出了一种用于符号执行SML规范的技术,该技术以符号方式解释整数消息参数和变量。它可用于符号可实现性检验和交互式符号仿真。我们在场景工具中实现了这项技术。评估表明,在一系列示例中,与显式状态方法相比,性能有了显著提高。此外,符号检查产生了更简洁的反例,从而简化了对规范缺陷的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Symbolic Execution for Realizability-Checking of Scenario-Based Specifications
Scenario-based specification with the Scenario Modeling Language (SML) is an intuitive approach for formally specifying the behavior of reactive systems. SML is close to how humans conceive and communicate requirements, yet SML is executable and simulation and formal realizability checking can find specification flaws early. The realizability checking complexity is, however, exponential in the number of scenarios and variables. Therefore algorithms relying on explicit-state exploration do not scale and, especially when specifications have message parameters and variables over large domains, fail to unfold their potential. In this paper, we present a technique for the symbolic execution of SML specifications that interprets integer message parameters and variables symbolically. It can be used for symbolic realizability checking and interactive symbolic simulation. We implemented the technique in ScenarioTools. Evaluation shows drastic performance improvements over the explicit-state approachfor a range of examples. Moreover, symbolic checking produces more concise counter examples, which eases the comprehension of specification flaws.
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