DyMMer:一个基于测量的工具，支持DSPL特征模型的质量评估

Proceedings of the 20th International Systems and Software Product Line Conference Pub Date : 2016-09-16 DOI:10.1145/2934466.2962730

C. Bezerra, Jefferson Barbosa, Joao Holanda Freires, Rossana Andrade, José Maria S. Monteiro

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引用次数: 19

摘要

对于动态软件产品线(DSPL)，评估特征模型的质量对于确保早期阶段的错误不会扩散到整个DSPL是非常重要的。从特征模型中提取的度量已被证明对这些模型的质量评价是有用的。然而，用于计算大量特征模型的这些质量度量值的过程可能很麻烦并且容易出错。为了解决这个问题，我们提出了DyMMer，一个支持从dsl中的特征模型中自动提取质量度量的工具。之后，我们可以对结果进行分析，并对特征模型提出改进建议。目前，DyMMer工具能够从DSPL特征模型中收集40种不同的质量度量。

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DyMMer: a measurement-based tool to support quality evaluation of DSPL feature models

For Dynamic Software Product Lines (DSPLs), evaluating the quality of a feature model is important to ensure that errors in the early stages do not spread throughout the DSPL. Measures extracted from feature models have been proved to be useful in the quality evaluation of such models. However, the process used for computing the values of these quality measures for a large set of feature models can be cumbersome and error prone. To cope with this problem, we present DyMMer, a tool to support the automatic extraction of quality measures from feature models in DSPLs. After that, we can analyse the results and propose improvements for the feature models. Currently, the DyMMer tool is able to collect 40 different quality measures from a DSPL feature model.

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Proceedings of the 20th International Systems and Software Product Line Conference

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