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Using OWL Ontologies as a Domain-Specific Language for Capturing Requirements for Formal Analysis and Test Case Generation

机译:使用OWL本体作为特定于域的语言,用于捕获正式分析和测试案例的要求

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Our experience at GE Research suggests that the use of a controlled-English grammar and a rich authoring environment can greatly facilitate subject matter experts' ability to understand, create, and collaboratively employ models. A domain ontology is an ideal foundation for many advanced capabilities. An example is extending our controlled-English grammar and authoring environment for OWL model generation to allow the capture of high-level requirements, assumptions, and assertions, enabling requirement engineers to create models of system capability and behavior amenable to formal methods analysis to detect incompleteness, conflict, and a variety of other issues. The same domain models and formal requirements can be used to automatically generate test cases and test procedures. Automated test generation represents a huge reduction in the time and effort required to create and validate critical software. In this paper we illustrate how ontologies enable the ASSERT? tool suite to support the above capabilities through a small grounding use case.
机译:我们在GE研究的经验表明,使用受控英语语法和丰富的创作环境可以极大地促进主题专家了解,创建和协作采用模型的能力。域本体是许多高级功能的理想基础。一个例子是扩展我们的控制 - 英语语法和创作环境,用于owl模型生成,以允许捕获高级要求,假设和断言,使需要工程师能够创建系统能力和行为的模型,适用于正式方法分析以检测不完整性,冲突和各种其他问题。相同的域模型和正式要求可用于自动生成测试用例和测试程序。自动测试生成代表创建和验证关键软件所需的时间和精力的巨大减少。在本文中,我们说明了本地性如何启用断言?工具套件通过小型接地用例支持上述功能。

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