解释产品线模型中的死特性的最小修正子集。特征模型的情况

Luisa Rincón, G. Giraldo, R. Mazo, Camille Salinesi, D. Díaz
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引用次数: 5

摘要

利用产品线范例所提供的好处,除其他事项外,还取决于表示产品线的模型的质量。质量的一个重要方面是确保产品线模型(plm)没有缺陷。缺陷的一种类型是失效特性(即,不能在任何有效产品中使用的特性)。产品线建模者需要一些工具来帮助他们确定特性失效的原因以及如何修正模型。然而,即使文学中有一些关于识别死特征的作品,但很少有作品解释了为什么会出现死特征,或者提供了不完整的解释。在本文中,我们提出了一种新的方法来解释为什么在plm中用特征模型的符号来表示每个死特征。我们的解释涉及识别可以修改的元素的不同子集,以纠正模型。本解释提供了修复每个失效特性的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Subconjuntos mínimos de corrección para explicar características muertas en modelos de líneas de productos. El caso de los modelos de características
Take advantage of benefits offered by the paradigm of product lines depends, among other things, of the quality of models that represent product lines. An important facet of quality is ensuring that the Product Line Models (PLMs) are free of defects. One type of defect is the dead features (i.e., features that cannot be used in any valid product). Product Line modelers need tools that help them to identify why features are dead and how to correct the model. However, even if several works exist in literature for identifying dead features, few of them explain why dead features appear or they provide incomplete explanations. In this paper, we propose a new method to explain why each dead feature occurs in PLMs expressed with the notation of feature models. Our explanation involves identifying different subsets of elements that could be modified to correct the model. This explanation provides the information to fix each dead feature.
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