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

机译:基于本体的动态需求溯源关键词的语义判断研究。

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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:使用基于本体的动态需求可追溯性方法可以提高跟踪链接的准确性,但是建立合理有效的本体是一个复杂而繁琐的过程。由于本体的大小直接影响实验结果,因此本文提出了一种将修饰符与一般本体结合的方法。首先,该方法通过修饰词和关键词的搭配规则对关键词进行语义选择。然后通过WordNet中的语义距离来计算关键字的相似度,并通过修饰语本体进行调整。关键字的语义选择由相似度得分反映。最后,通过关键词的相似度来计算源伪像与目标伪像之间的相似度。在需求文档,设计文档等中,修饰符的数量很少,因此可以减少因领域本体构建而带来的时间和人工成本。为了验证该方法的有效性,将本文中的方法与基于VSM的方法和基于领域的本体方法进行了比较。

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