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Formal Modeling of Airborne Software High-Level Requirements Based on Knowledge Graph

机译:基于知识图的机载软件高级要求正式建模

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Airborne airworthiness certification DO-178C software release proposes a higher safety and reliability demands of airborne software. This raises great challenges to airborne software modeling and verification. In order to achieve airborne software high-level requirements objectives, we propose a formal method of modeling high-level requirements based on knowledge graph. The method gives a formal language to describe knowledge graph and constructs knowledge graph collaboratively. Then we represents high-level requirements by causal model and formal modeling of high-level functional requirements and non-functional requirements by knowledge graph. These improve the requirement traceability, namely these are helpful to trace the high-level requirements to system requirements so as to achieve high-level requirements' traceability objective that DO-178C demands. Additionally, we provide the modeling tool for domain experts to construct knowledge graph collaboratively and realize their high-level requirements modeling. We also give some high-level requirements verification. These are significant to generate safe, reliable, accurate and high-quality airborne software.
机译:机载适航认证DO-178C软件版本提出的机载软件更高的安全性和可靠性的要求。这就提出了空降软件建模和验证很大的挑战。为了实现机载软件的高级别要求的目标,我们提出了基于建模知识图的高级别要求的形式化方法。该方法给出了一个正式的语言来描述知识图和结构图的知识协作。然后,我们代表了因果模型,并通过知识图形高级功能需求和非功能性需求形式化建模高层次的需求。这些改善需求跟踪,即这些都有助于使跟踪高层次的需求体系的要求,从而实现高层次的需求可追溯性客观的说,DO-178C的要求。此外,我们协作提供了领域专家的知识建构图形建模工具,实现自己的高层次需求建模。我们也给一些高层次的需求验证。这些都是显著生成安全,可靠,准确,高质量的机载软件。

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