MetricHaven: More than 23,000 Metrics for Measuring Quality Attributes of Software Product Lines

Sascha El-Sharkawy, Adam Krafczyk, Klaus Schmid
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引用次数: 7

Abstract

Variability-aware metrics are designed to measure qualitative aspects of software product lines. As we identified in a prior SLR [6], there exist already many metrics that address code or variability separately, while the combination of both has been less researched. MetricHaven fills this gap, as it extensively supports combining information from code files and variability models. Further, we also enable the combination of well established single system metrics with novel variability-aware metrics, going beyond existing variability-aware metrics. Our tool supports most prominent single system and variability-aware code metrics. We provide configuration support for already implemented metrics, resulting in 23,342 metric variations. Further, we present an abstract syntax tree developed for MetricHaven, that allows the realization of additional code metrics. Tool: https://github.com/KernelHaven/MetricHaven Video: https://youtu.be/vPEmD5Sr6gM
MetricHaven:超过23,000个度量软件产品线质量属性的度量
可变性感知度量被设计用来度量软件产品线的定性方面。正如我们在之前的单反中所确定的[6],已经存在许多单独处理代码或可变性的指标,而对两者的组合研究较少。MetricHaven填补了这一空白,因为它广泛地支持从代码文件和可变性模型中组合信息。此外,我们还支持将建立良好的单一系统度量与新颖的可变性感知度量相结合,超越现有的可变性感知度量。我们的工具支持最突出的单系统和可变性代码度量。我们为已经实现的度量提供配置支持,从而产生23,342个度量变化。此外,我们提出了一个为MetricHaven开发的抽象语法树,它允许实现额外的代码度量。工具:https://github.com/KernelHaven/MetricHaven视频:https://youtu.be/vPEmD5Sr6gM
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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