基于可重用组件的航空电子系统的基于模型的集成——一个案例研究

M. Schulte
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引用次数: 25

摘要

在波音Bold Stroke计划下开发的经过飞行测试的产品线开放系统软件架构已经被描述和展示(DC)。锋利,2001)。该体系结构为航空电子系统提供了一个可重用的基于组件的开发过程,以实现提高可负担性、质量和系统及时性的产品目标。对于大型系统,这个过程的一个非常具有挑战性的部分是将公共的和项目特定的软件组件集成到系统中,这些系统要尊重横切的嵌入式系统需求,比如硬的和软的实时截止日期、容错和分布。当前方法的重大进展将源于对功能行为和耦合物理嵌入式系统属性的显式建模的集成方法,对这些模型的分析以确保它们在编码之前满足需求,以及自动组件配置代码生成。在DARPA基于模型的嵌入式软件集成(MoBIES)项目中,如何开发航空电子系统的这些挑战、需求和最终状态愿景也已经被描述和提出(W. Roll, 2002)。本演示通过描述所使用的实验过程,通过提供实践中支持mobie的开发过程的示例,特定领域模型的作用,以及通过展示初始的定性和定量结果,扩展了这些最初的实验描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model-based integration of reusable component-based avionics systems - a case study
A flight-tested product line open system software architecture developed under the Boeing Bold Stroke initiative has been previously described and presented (DC. Sharp, 2001). This architecture enables a reusable component-based development process for avionics systems to achieve product goals of improved affordability, quality, and system timeliness. For large-scale systems, one very challenging portion of this process is the integration of common and project specific software components into systems that respect cross-cutting embedded system requirements such as hard and soft real-time deadlines, fault tolerance, and distribution. Significant advances in current approaches would result from an integrated approach to explicit modeling of functional behaviors and coupled physical embedded system properties, analysis of these models to ensure that they meet requirements prior to coding, and automated component configuration code generation. How these challenges, requirements and end-state visions for avionics systems are being developed within the DARPA Model-Based Integration of Embedded Software (MoBIES) program has also been previously described and presented (W. Roll, 2002). This presentation expand on those initial experiment descriptions by delineating the experimental process that was used, by providing examples of the MoBIES-enabled development process in practice, the role of domain-specific models, and by presenting initial qualitative and quantitative results.
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