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Research on Semantic Judgment of Key Words in Ontology - Based Dynamic Requirements Traceability

机译:基于本体论动态需求可追溯性的关键词语义判断研究

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The accuracy of trace links can be improved by using ontology-based dynamic requirements traceability method, but it is a complicated and tedious process to establish a reasonable and effective ontology. Because the size of the ontology affects the experimental results directly, this paper shows a method to combine the modifiers with the general ontology. Firstly, the method makes semantic choices for the keywords through the collocation rules of the modifier and the keyword. Then the similarity of the keywords are calculated by the semantic distance in the WordNet and adjusted through the modifier ontology. The semantic choices of the keywords are reflected by the similarity scores. Finally, the similarity between the source artifacts and target artifacts are calculated by the similarity of the keywords. The number of modifiers is small in the requirements documents, design documents and etc. so this can reduce time and labor cost brought by the construction of domain ontology. In order to verify the effectiveness of this method, the method in this paper will be compared with VSM based methods and domain based ontology methods.
机译:通过使用基于本体的动态需求可追溯性方法,可以提高跟踪链路的准确性,但建立合理有效的本体是一种复杂和繁琐的过程。由于本体的大小直接影响了实验结果,因此本文显示了将修饰机与一般本体论组合的方法。首先,该方法通过修饰符的搭配规则和关键字进行关键字的语义选择。然后,关键字的相似性由WordNet中的语义距离计算,并通过修饰程序本体进行调整。关键字的语义选择由相似性分数反映。最后,通过关键字的相似性来计算源伪像和目标伪像之间的相似性。修饰符的数量在要求文档,设计文件等方面很小,因此这可以减少域本体结构建设所带来的时间和劳动力成本。为了验证该方法的有效性,本文中的方法将与基于VSM的方法和基于域的本体方法进行比较。

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