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Method to Identify Corrections of Defects on Product Line Models

机译:识别产品线模型缺陷的校正方法

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Software product line engineering is a promising paradigm for developing software intensive systems. Among their proven benefits are reduced time to market, better asset reuse and improved software quality. To achieve this, the collection of products of the product line are specified by means of product line models. Feature Models (FMs) are a common notation to represent product lines that express the set of feature combinations that software products can have. Experience shows that these models can have defects. Defects in FMs be inherited to the products configured from these models. Consequently, defects must be early identified and corrected. Several works reported in scientific literature, deal with identification of defects in FMs. However, only few of these proposals are able to explain how to fix defects, and only some corrections are suggested. This paper proposes a new method to detect all possible corrections from a defective product line model. The originality of the contribution is that corrections can be found when the method systematically eliminates dependencies from the FMs. The proposed method was applied on 78 distinct FMs with sizes up to 120 dependencies. Evaluation indicates that the method proposed in this paper scale up, is accurate, and sometimes useful in real scenarios.
机译:软件产品线工程是开发软件密集型系统的有希望的范例。其久经考验的好处包括缩短产品上市时间,提高资产重用率和改善软件质量。为此,通过产品线模型指定产品线的产品集合。功能模型(FM)是表示产品系列的通用符号,这些产品系列表达软件产品可以具有的功能组合集。经验表明,这些模型可能存在缺陷。 FM中的缺陷会继承到这些模型配置的产品中。因此,必须及早发现并纠正缺陷。科学文献中报道的几项研究涉及FM缺陷的识别。但是,这些提议中只有很少一部分能够解释如何修复缺陷,并且仅提出了一些更正。本文提出了一种从有缺陷的产品线模型中检测所有可能的校正的新方法。贡献的独创性在于,当该方法系统地消除FM的依赖性时,可以找到更正。所提出的方法被应用于78个不同的FM,其大小最大为120。评估表明,本文提出的方法可以放大,准确,有时在实际场景中有用。

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