人物:产品线投影编辑

B. Behringer, Jochen Palz, T. Berger
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引用次数: 28

摘要

软件产品线的特性——系统变体的组合——可以使用各种实现技术(也就是可变性机制)来实现。每种技术都以不同的方式表示功能的软件工件,通常分为注释表示(例如,C预处理器)和模块化表示(例如,功能模块),每种技术都具有不同的优点和缺点。注释表示很容易实现,但是注释使源代码混乱,妨碍程序理解。模块化表示支持理解,但难以实现。最重要的是,为了设计特性工件,开发人员需要选择一种表示,并坚持它来发展和维护相同的工件。我们提出了peoplel,一种结合注释表示和模块化表示优点的方法。当设计一个特性工件时,开发人员可以选择最适合的表示,甚至可以并行地使用不同的表示。peoplel依赖于将产品线划分为内部和外部表示,后者通过提供开发人员使用的可编辑投影来实现。我们提供了一个独立于编程语言的可变性内部表示,五个反映不同可变性表示的可编辑投影,一个支持IDE,以及一个针对Java的personl裁剪。我们在八个基于java的产品线中评估了peoplel的表达性、可伸缩性和灵活性,发现所有这些都可以实现,预测是可行的,并且变体计算速度很快(
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PEoPL: Projectional Editing of Product Lines
The features of a software product line—a portfolio of system variants—can be realized using various implementation techniques (a. k. a., variability mechanisms). Each technique represents the software artifacts of features differently, typically classified into annotative (e.g., C preprocessor) and modular representations (e.g., feature modules), each with distinct advantages and disadvantages. Annotative representations are easy to realize, but annotations clutter source code and hinder program comprehension. Modular representations support comprehension, but are difficult to realize. Most importantly, to engineer feature artifacts, developers need to choose one representation and adhere to it for evolving and maintaining the same artifacts. We present PEoPL, an approach to combine the advantages of annotative and modular representations. When engineering a feature artifact, developers can choose the most-suited representation and even use different representations in parallel. PEoPL relies on separating a product line into an internal and external representation, the latter by providing editable projections used by the developers. We contribute a programming-language-independent internal representation of variability, five editable projections reflecting different variability representations, a supporting IDE, and a tailoring of PEoPL to Java. We evaluate PEoPL's expressiveness, scalability, and flexibility in eight Java-based product lines, finding that all can be realized, that projections are feasible, and that variant computation is fast (
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