KernelHaven: an open infrastructure for product line analysis

Christian Kröher, Sascha El-Sharkawy, Klaus Schmid
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引用次数: 11

Abstract

KernelHaven is an open infrastructure for Software Product Line (SPL) analysis. It is intended both as a production-quality analysis tool set as well as a research support tool, e.g., to support researchers in systematically exploring research hypothesis. For flexibility and ease of experimentation KernelHaven components are plug-ins for extracting certain information from SPL artifacts and processing this information, e.g., to check the correctness and consistency of variability information or to apply metrics. A configuration-based setup along with automatic documentation functionality allows different experiments and supports their easy reproduction. Here, we describe KernelHaven as a product line analysis research tool and highlight its basic approach as well as its fundamental capabilities. In particular, we describe available information extraction and processing plug-ins and how to combine them. On this basis, researchers and interested professional users can rapidly conduct a first set of experiments. Further, we describe the concepts for extending KernelHaven by new plug-ins, which reduces development effort when realizing new experiments.
KernelHaven:用于产品线分析的开放基础设施
KernelHaven是软件产品线(SPL)分析的开放基础设施。它既可以作为生产质量分析工具集,也可以作为研究支持工具,例如,支持研究人员系统地探索研究假设。为了实验的灵活性和易用性,KernelHaven组件是用于从SPL工件中提取某些信息并处理这些信息的插件,例如,检查可变性信息的正确性和一致性或应用度量标准。基于配置的设置以及自动文档功能允许不同的实验,并支持它们的轻松复制。在这里,我们将KernelHaven描述为一个产品线分析研究工具,并强调其基本方法和基本功能。特别地,我们描述了可用的信息提取和处理插件以及如何组合它们。在此基础上,研究人员和感兴趣的专业用户可以快速进行第一组实验。此外,我们描述了通过新插件扩展KernelHaven的概念,这在实现新实验时减少了开发工作量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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