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Semi-Automatic Generation of a Software Testing Lightweight Ontology from a Glossary Based on the ONTO6 Methodology

机译:半自动生成软件测试轻量级本体从基于16个方法的词汇表

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We propose a methodology of semi-automatic obtaining of a lightweight ontology for software testing domain based on the glossary "Standard glossary of terms used in Software Testing" created by ISTQB. From the same glossary many ontologies might be developed depending on the strategy for extracting concepts, categorizing them, and determining hierarchical and some other relationships. Initially we use the ONTO6 methodology that allows identification of the most important aspects in the given domain. These identified aspects serve as the most general concepts in taxonomy (roots in the concept hierarchy). By applying natural language processing techniques and analyzing the discovered relations between concepts, an intermediate representation of lightweight ontology is created. Afterwards the lightweight ontology is exported to OWL format, stored in the ontology editor Protege, and analyzed and refined by OWLGrEd - an UML style graphical editor for OWL that interoperates with Protege. The obtained lightweight ontology might be useful for building up a heavyweight software testing ontology.
机译:我们提出了一种基于ISTQB创建的词汇表“标准词汇表”的词汇表“标准词汇表”,提出了一种半自动获取轻量级本体的轻量级本体。从相同的词汇表中,可能会根据提取概念,对其进行分类和确定分层和一些其他关系的策略来开发许多本体。最初,我们使用On 6方法,允许识别给定域中最重要的方面。这些所确定的方面是分类学中最一般的概念(概念层次结构中的根源)。通过应用自然语言处理技术和分析概念之间的发现关系,创建了轻量级本体的中间表示。之后,轻量级本体将导出到OWL格式,存储在本体编辑器桥体中,并由OWLGRED分析和改进 - 用于与Protege互操作的OWL的UML样式图形编辑器。获得的轻量级本体可能对构建重量级软件测试本体有用。

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