基于意图的软件变体集成

Max Lillack, Stefan Stanciulescu, Wilhelm Hedman, T. Berger, A. Wąsowski
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引用次数: 22

摘要

克隆是一种创建系统新变体的简单方法。虽然一开始很便宜,但从长远来看,它增加了维护成本。最终,克隆的变体需要集成到一个可配置的平台中。这样的集成是具有挑战性的:它涉及到在变体之间合并通常的代码改进,以及将可变代码(特性)集成到平台中。因此,变体集成不同于传统的软件合并,后者不产生或组织可配置代码,而是创建一个不能配置为变体的单一系统。在实践中,变体集成需要在多个迭代中以探索性的方式执行细粒度的代码编辑。不幸的是,很少有工具支持集成克隆变体。在这项工作中,我们展示了集成所需的细粒度代码编辑可以通过一小组集成意图(在控制集成的代码片段上声明的特定于领域的操作)来减轻。开发人员可以通过在代码元素上声明(或撤销)意图来交互式地探索集成空间。我们贡献了意图(例如,“保持功能”或“保持作为一个可配置的特性”)和IDE工具INCLINE,它实现了意图和五个可视化集成过程的可编辑视图,并允许声明意图来产生一个可配置的集成平台。在一系列的实验中,我们评估了所提出意图的完整性、倾向性的正确性和性能,以及使用意图进行变量集成的好处。实验表明,INCLINE可以处理复杂的集成任务,视图有助于导航代码,并且它始终减少开发人员在变体集成期间所犯的错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intention-Based Integration of Software Variants
Cloning is a simple way to create new variants of a system. While cheap at first, it increases maintenance cost in the long term. Eventually, the cloned variants need to be integrated into a configurable platform. Such an integration is challenging: it involves merging the usual code improvements between the variants, and also integrating the variable code (features) into the platform. Thus, variant integration differs from traditional soft- ware merging, which does not produce or organize configurable code, but creates a single system that cannot be configured into variants. In practice, variant integration requires fine-grained code edits, performed in an exploratory manner, in multiple iterations. Unfortunately, little tool support exists for integrating cloned variants. In this work, we show that fine-grained code edits needed for integration can be alleviated by a small set of integration intentions-domain-specific actions declared over code snippets controlling the integration. Developers can interactively explore the integration space by declaring (or revoking) intentions on code elements. We contribute the intentions (e.g., 'keep functionality' or 'keep as a configurable feature') and the IDE tool INCLINE, which implements the intentions and five editable views that visualize the integration process and allow declaring intentions producing a configurable integrated platform. In a series of experiments, we evaluated the completeness of the pro- posed intentions, the correctness and performance of INCLINE, and the benefits of using intentions for variant integration. The experiments show that INCLINE can handle complex integration tasks, that views help to navigate the code, and that it consistently reduces mistakes made by developers during variant integration.
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