基于知识图谱的航天FPGA缺陷检测软件代码

Hao Yan, Dongfang Li
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引用次数: 0

摘要

在大数据时代,如何有效地利用各种载体中的混沌数据,并将其组织成一个结构化的知识库是一个热门的研究方向。知识图谱以图形的形式将客观世界中的概念、实体及其关系表现出来,具有可解释性强、搜索效率高的优点,一直受到研究者的高度重视。在分析缺陷检测软件知识图谱应用范围的基础上,分析了知识图谱在软件领域的研究现状。最后,结合航天领域FPGA软件编码的独特特点,总结了目前面临的困难和挑战,并提出了一些新的解决方案。
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Knowledge Graph Based on Defect Detection of Aerospace FPGA Software Code
In the era of big data, how to effectively use the chaotic data in various carriers and organize it into a structured knowledge base is a popular research direction. Knowledge graph shows the concept and entity and their relationship in the objective world in the form of a graph, with the advantages of strong interpretability and high search efficiency, which has been paid high attention by researchers. Based on the scope of application of knowledge graph of defect detection software, the current status of knowledge graph in software field. Finally, combined with the unique characteristics of the field of aerospace FPGA software code, we summarize the difficulties and challenges faced, and propose some new solutions.
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