基于自然语言的需求自动生成UTP模型

Satoshi Masuda, T. Matsuodani, K. Tsuda
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引用次数: 4

摘要

统一建模语言(UML)是从软件设计需求出发进行建模的语言。UML测试概要文件(UTP)是从软件测试的需求分析中对建模测试的定义。UTP将测试架构、测试行为、测试数据和时间概念作为测试模型。需求用自然语言描述,拥有建模技能的工程师然后手动生成测试模型。因此,测试模型的生成取决于工程师的技能,从而导致测试模型的质量不稳定。在本文中,我们通过关注UTP测试行为中测试用例的描述,提出了用自然语言从需求中自动生成测试模型。我们开发了三条规则,通过使用自然语言处理技术从需求中生成测试模型,并用我们的方法在被认为是自然英语的语言中进行需求实验。我们在三个案例研究中的结果显示了我们的方法的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Generation of UTP Models from Requirements in Natural Language
Unified Modeling Language (UML) is the language of modeling from requirements for software design. UML Testing Profile (UTP) is the definition of the modeling test from requirements analysis for software testing. UTP has Test Architecture, Test Behavior, Test Data, and Time Concepts as the test models. Requirements are described in natural language, and engineers who have modeling skills then manually generate test models. Hence the generation of test models depends upon the engineer's skills, leaving the quality of test models unstable. In this paper, we present automatic generation test models from requirements in natural language by focusing on descriptions of test cases in UTP test behavior. We develop three rules to generate test models from requirements by using natural language processing techniques and experiment with our approach on requirements in language that is considered natural English. Our results in three case studies show the promise of our approach.
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