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Mining features from the object-oriented source code of software variants by combining lexical and structural similarity

机译:通过结合词法和结构相似性从软件变体的面向对象源代码中挖掘功能

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Migrating software product variants which are deemed similar into a product line is a challenging task with main impact in software reengineering. To exploit existing software variants to build a software product line (SPL), the first step is to mine the feature model of this SPL which involves extracting common and optional features. Thus, we propose, in this paper, a new approach to mine features from the object-oriented source code of software variants by using lexical and structural similarity. To validate our approach, we applied it on ArgoUML, Health Watcher and Mobile Media software. The results of this evaluation showed that most of the features were identified1.
机译:将被视为相似的软件产品变体移植到产品线中是一项具有挑战性的任务,对软件再造具有重大影响。为了利用现有的软件变体来构建软件产品线(SPL),第一步是挖掘此SPL的功能模型,其中涉及提取通用和可选功能。因此,在本文中,我们提出了一种新的方法,该方法通过使用词法和结构相似性从软件变体的面向对象源代码中挖掘特征。为了验证我们的方法,我们将其应用于ArgoUML,Health Watcher和Mobile Media软件。评估结果表明,大多数特征被识别为 1

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