kconfig-webconf: retrofitting performance models onto kconfig-based software product lines

Daniel Friesel, Kathrin Elmenhorst, L. Kaiser, Michael Müller, O. Spinczyk
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Abstract

Despite decades of research and clear advantages, performance-aware configuration of real-world software product lines is still an exception rather than the norm. One reason for this may be tooling: configuration software with support for non-functional property models is generally not compatible with the configuration and build process of existing product lines. Specifically, the Kconfig language is popular in open source software projects, but neither language nor configuration frontends support performance models. To address this, we present kconfig-webconf: a performance-aware, Kconfig-compatible software product line configuration frontend. It is part of a toolchain that can automatically generate performance models with a minimal amount of changes to a software product line's build process. With such a performance model, kconfig-webconf can serve as a performance-aware drop-in replacement for existing Kconfig frontends. We evaluate its usage in five examples, including the busybox multi-call binary and the resKIL agricultural AI product line.
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Kconfig-webconf:在基于kconfig的软件产品线上改进性能模型
尽管经过几十年的研究和明确的优势,实际软件产品线的性能感知配置仍然是一个例外,而不是常态。造成这种情况的一个原因可能是工具:支持非功能性属性模型的配置软件通常与现有产品线的配置和构建过程不兼容。具体来说,Kconfig语言在开源软件项目中很流行,但是语言和配置前端都不支持性能模型。为了解决这个问题,我们提出了kconfig-webconf:一个性能敏感的、与kconfig兼容的软件产品线配置前端。它是工具链的一部分,可以自动生成性能模型,对软件产品线的构建过程进行最少的更改。有了这样的性能模型,Kconfig -webconf可以作为现有Kconfig前端的性能感知替代。我们在五个例子中评估了它的使用情况,包括busybox多呼叫二进制和resskill农业人工智能产品线。
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