从UML-ESL模型合成通信软件

Thiago N. C. Cardoso, E. Barros, B. Prado, Andre Aziz
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引用次数: 7

摘要

电子设备市场要求将更多的功能集成到单个产品中。为了满足这一需求,业界迁移到基于处理器的解决方案,增加了软件在系统中的作用。然而,基于处理器的解决方案由于硬件相关软件(HdS)的复杂性而增加了设计的复杂性。为了应对这种复杂性,采用虚拟平台方法,对整个系统进行建模,以减少设计时间。现在,大部分工作都是手工完成的,综合系统级设计语言(SLDL)所需的所有结构和行为。然而,随着系统复杂性的增加,继续手动执行这种合成变得不切实际。在过去的十年中,一些研究从sldl中的描述和最近的统一建模语言(UML)中处理了软件组件的合成。尽管已经获得了重要的自动化,但是在实现的抽象中仍然存在限制。为了提高描述的抽象性,提出了UML-ESL概要文件对通信结构进行抽象,并采用软硬件接口间通信的综合技术。本文从UML-ESL的描述出发,提出了一种综合系统多任务支持和软件组件间通信的技术,用于虚拟平台仿真。所获得的结果显示,手工编写的代码量减少了60%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Communication software synthesis from UML-ESL models
The electronic devices market demands a larger amount of functionality integrated into a single product. To address this demand, the industry migrated to solutions based on processors, increasing the software role in the systems. However, processor-based solutions raises the design complexity due to the complexity of Hardware-dependent Software (HdS). To cope with this complexity, the virtual platforms approach is applied, in which the whole system is modeled in order to reduce the design time. Nowadays, much of this work is manually performed, synthesizing all structures and behavior required in a system level design language (SLDL). However, with the increasing systems complexity, it is becoming impractical to continue performing this synthesis manually. In the last decade, several studies have addressed the synthesis of software components from descriptions in SLDLs and recently in the Unified Modeling Language (UML). Although significant automation has been obtained, there are limitations in the abstraction achieved. In order to raise the abstraction of the description, the UML-ESL profile was proposed to abstract the communication structure, with a synthesis technique for communication between software and hardware interfaces. This work presents a technique to synthesize the multitasking support and the communication between software components of the system from a description in UML-ESL for virtual platform simulation. The results obtained showed up to 60% decrease in the amount of code manually written.
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