朝着管理软件和硬件组件的可变性和进化的集成方法迈进

Jan Willem Wittler, Thomas Kühn, Ralf H. Reussner
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引用次数: 1

摘要

尽管大规模定制产品的开发已经成功地应用于硬件和软件,但公司仍在努力在一致的产品工程方法中管理软件密集型产品的可变性和演变。虽然单独的软件的可变性和演化是可管理的,但是在一个产品线中管理软件和硬件是一项复杂的任务,并且需要一个集成的方法。此外,由于硬件的发布周期比软件长,硬件和软件的产品线通常是分代开发的。当一代被验证和生产时,下一代已经被计划和设计,重用前几代的软件和硬件。因此,它们之间共享的不同代和工件必须一起管理。最后,当方法直接将软件分配给硬件时,管理它们的演变变得越来越复杂。演进的资源需求可能会被忽略,耗尽硬件提供的资源,可能导致功能降级或故障。为了解决这个问题,我们将统一概念模型提炼为软件和硬件的可变性模型,以捕获产品线世代、软件和硬件组件的版本和变体的概念,以及软件对硬件的资源需求。这是开发用于管理软件密集型产品的可变性和进化的集成产品工程方法的第一步。
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Towards an integrated approach for managing the variability and evolution of both software and hardware components
Although the development of mass-customized products has been successfully applied to both hardware and software, companies struggle managing the variability and evolution of software-intensive products within a coherent product engineering approach. While the variability and evolution of software alone is manageable, managing both software and hardware within one product line is a complex task and requires an integrated approach. Moreover, as the release cycle for hardware is longer than for software, a product line of hardware and software is usually developed in generations. While one generation is validated and produced, the next generation is already planned and designed, reusing both software and hardware of previous generations. Thus, the different generations and artifacts shared between them must be managed together. Finally, when approaches directly assign software to hardware, managing their evolution becomes increasingly complex. Evolved resource demands may be missed, exhausting the resources provided by the hardware, possibly leading to degraded or faulty functionality. To remedy this, we refine the Unified Conceptual Model to our Variability Model for both Software and Hardware capturing the notion of product line generations, versions and variants of both software and hardware components, as well as resource demands of software on hardware. This is the first step towards the development of an integrated product engineering approach for managing the variability and evolution of software-intensive products.
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