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The Research of Domain Ontology Recommendation Method with Its Applications in Requirement Traceability

机译:域本体论推荐方法及其在需求可追溯性中的应用研究

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Ontology can specify the concepts and their relationships. If ontology was used as the bridge to map between the source and target artifacts, it can help to solve the keyword matching problem regarding the requirement traceability in the semantic level. A domain ontology recommendation method has been proposed. Using this method, the lexical semantic representation list of the dependency syntax types can be produced at first using Stanford Parser. Then, the terms as well as their relations can be extracted using the clear algorithm and rule-based matching algorithm. As follows, these terms and their relations can be transformed into domain concepts and their relations, obtaining the domain ontology recommendation. Finally, the domain ontology that is suitable for the requirement traceability can be gained through the processes of selection and revision by the domain experts. The experimental results demonstrate that if the proposed domain ontology was applied to requirement traceability, it can effectively improve the accuracy of the requirement traceability, compared with the vector space model and the requirement traceability method based on HOWNET.
机译:本体可以指定概念及其关系。如果在源和目标伪影之间使用本体作为映射到桥梁,则可以帮助解决关于语义级别中需求可追溯性的关键字匹配问题。已经提出了域本体论推荐方法。使用此方法,可以首先使用Stanford解析器来生产依赖关系语法类型的词汇语义表示列表。然后,可以使用明确的算法和基于规则的匹配算法来提取术语以及它们的关系。如下,这些术语及其关系可以转变为域概念及其关系,获取域本体论建议。最后,可以通过域专家的选择和修订过程来获得适用于需求可追溯性的域本体论。实验结果表明,如果将所提出的结构域本体论应用于需求可追溯性,则与基于HONENET的载体空间模型和需求可追溯性方法相比,它可以有效提高需求可追溯性的准确性。

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