A Literature Review and Comparison of Three Feature Location Techniques using ArgoUML-SPL

Daniel Cruz, Eduardo Figueiredo, Jabier Martinez
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引用次数: 23

Abstract

Over the last decades, the adoption of Software Product Line (SPL) engineering for supporting software reuse has increased. An SPL can be extracted from one single product or from a family of related software products, and feature location strategies are widely used for variability mining. Several feature location strategies have been proposed in the literature and they usually aim to map a feature to its source code implementation. In this paper, we present a systematic literature review that identifies and characterizes existing feature location strategies. We also evaluated three different strategies based on textual information retrieval in the context of the ArgoUML-SPL feature location case study. In this evaluation, we compare the strategies based on their ability to correctly identify the source code of several features from ArgoUML-SPL ground truth. We then discuss the strengths and weaknesses of each feature location strategy.
ArgoUML-SPL三种特征定位技术的文献综述及比较
在过去的几十年里,为支持软件重用而采用软件产品线(SPL)工程的情况有所增加。SPL可以从单个产品或一系列相关软件产品中提取,特征定位策略被广泛用于变异性挖掘。文献中已经提出了几种特征定位策略,它们通常旨在将特征映射到其源代码实现。在本文中,我们提出了一个系统的文献综述,以识别和表征现有的特征定位策略。在ArgoUML-SPL特征定位案例研究中,我们还评估了基于文本信息检索的三种不同策略。在这个评估中,我们基于正确识别ArgoUML-SPL的几个特征的源代码的能力来比较这些策略。然后,我们讨论了每种特征定位策略的优缺点。
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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