基于基数的特征模型演化的一致性检查

Clément Quinton, Andreas Pleuß, Daniel Le Berre, L. Duchien, Goetz Botterweck
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引用次数: 33

摘要

特征模型(fms)是一种广泛使用的方法,用于指定可变系统和软件产品线中的共性和可变性。各种各样的工作都针对fm的发展和工具支持进行了编辑,以确保fm的一致性。fms的一个重要扩展是特征基数和相关约束,如在对云计算环境的可变性建模时广泛使用。由于基于基数的fms带来了额外的复杂性,因此需要对特征基数的演化和一致性检查提供额外的支持,但目前尚未解决。在本文中,我们讨论了常见的基于基数的fm编辑以及基于云域中fm的经验导致的不一致。我们介绍了基于现成求解器的自动不一致检测和解释的工具支持。我们通过展示该工具性能的经验评估来证明该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consistency checking for the evolution of cardinality-based feature models
Feature-models (fms) are a widely used approach to specify the commonalities and variability in variable systems and software product lines. Various works have addressed edits to fms for fm evolution and tool support to ensure consistency of fms. An important extension to fms are feature cardinalities and related constraints, as extensively used e.g., when modeling variability of cloud computing environments. Since cardinality-based fms pose additional complexity, additional support for evolution and consistency checking with respect to feature cardinalities would be desirable, but has not been addressed yet. In this paper, we discuss common cardinality-based fm edits and resulting inconsistencies based on experiences with fms in cloud domain. We introduce tool-support for automated inconsistency detection and explanation based on an off-the-shelf solver. We demonstrate the feasibility of the approach by an empirical evaluation showing the performance of the tool.
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