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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本体作为领域特定语言来捕获形式化分析和测试用例的需求

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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 Research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理解,创建和协作使用模型的能力。域本体是许多高级功能的理想基础。一个示例是扩展我们的受控英语语法和创作环境以用于OWL模型生成,以允许捕获高级需求,假设和断言,从而使需求工程师能够创建适合正式方法分析的系统能力和行为模型,以检测不完整性。 ,冲突和其他各种问题。可以使用相同的领域模型和形式要求来自动生成测试用例和测试过程。自动化的测试生成极大地减少了创建和验证关键软件所需的时间和精力。在本文中,我们说明了本体如何通过较小的接地用例使ASSERT™工具套件支持上述功能。

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