用于测试领域特定语言的核心语言模型的自然语言场景描述

Bernhard Hoisl, Stefan Sobernig, Mark Strembeck
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引用次数: 11

摘要

核心语言模型是领域特定建模语言(dsml)的中心工件,因为它捕获了所有相关的领域抽象及其关系。自然语言场景是一种以技术和非技术涉众都能理解的方式捕获需求的方法。在本文中,我们使用场景来测试DSML核心语言模型的结构特性。在我们的方法中,领域专家和DSML工程师通过结构化的自然语言场景指定需求。然后,这些场景描述被自动转换为可执行的测试场景,提供领域需求的向前和向后追溯性。为了演示我们方法的可行性,我们使用Eclipse Xtext实现了一种需求语言,用于定义半结构化场景。转换规范生成可执行的测试场景,这些场景运行在我们的测试平台上,该平台建立在Eclipse建模框架和Epsilon语言家族之上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Natural-language scenario descriptions for testing core language models of domain-specific languages
The core language model is a central artifact of domain-specific modeling languages (DSMLs) as it captures all relevant domain abstractions and their relations. Natural-language scenarios are a means to capture requirements in a way that can be understood by technical as well as non-technical stakeholders. In this paper, we use scenarios for the testing of structural properties of DSML core language models. In our approach, domain experts and DSML engineers specify requirements via structured natural-language scenarios. These scenario descriptions are then automatically transformed into executable test scenarios providing forward and backward traceability of domain requirements. To demonstrate the feasibility of our approach, we used Eclipse Xtext to implement a requirements language for the definition of semi-structured scenarios. Transformation specifications generate executable test scenarios that run in our test platform which is built on the Eclipse Modeling Framework and the Epsilon language family.
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