A large scale Linux-Kernel based benchmark for feature location research

Zhenchang Xing, Yinxing Xue, S. Jarzabek
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引用次数: 13

Abstract

Many software maintenance tasks require locating code units that implement a certain feature (termed as feature location). Feature location has been an active research area for more than two decades. However, there is lack of publicly available, large scale benchmarks for e valuating and comparing feature location approaches. In this paper, we present a LinuxKernel based benchmark for feature location research. This benchmark is large scale and extensible. By providing rich feature and program information and accurate ground-truth links between features and code units, it supports the e valuation of a wide range of feature location approaches. It allows researchers to gain deeper insights into existing approaches and how they can be improved. It also enables communication and collaboration among different researchers. (video: http://www.youtube.com/watch?v=3D_HihwRNeK3I).
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一个大规模的基于linux内核的特征定位研究基准
许多软件维护任务需要定位实现某个特性的代码单元(称为特性定位)。二十多年来,特征定位一直是一个活跃的研究领域。然而,缺乏公开可用的、大规模的评估和比较特征定位方法的基准。本文提出了一个基于LinuxKernel的特征定位研究基准。这个基准是大规模的和可扩展的。通过提供丰富的特性和程序信息,以及在特性和代码单元之间精确的真实联系,它支持对范围广泛的特性定位方法进行评估。它使研究人员能够更深入地了解现有的方法以及如何改进它们。它还使不同研究人员之间的交流和合作成为可能。(视频:http://www.youtube.com/watch?v=3D_HihwRNeK3I)。
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