软件有效评价技术:SWEET

Yaozong Li, Tao Wang, Yue Yu, Dongyang Hu
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引用次数: 0

摘要

在开源社区中,存在着大量的软件资源。这些软件资源分布在不同的社团或仓库中,这就要求不同的软件特性。这种现象导致使用传统方法难以评估软件质量。在这种情况下,一个新的开源软件排序算法可能是一个有效的解决方案。从主观和客观两个层面出发,提出了一种新的软件分类检索方法。在主观层面上,度量标准是根据软件主题从相应的协作开发社区中选择的。在客观层面,从知识共享社区的群体情感评价值获得度量。通过对比实验证明了该方法的有效性。结合Solrcloud工具,该方法已集成到OSSEAN平台中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Software Effective Evaluating Technology: SWEET
In open source community, there are a large number of software resources existing. Such software resources distribute in different societies or storehouses, which require different software characteristic. This phenomenon results in difficult to evaluate software quality using traditional methods. In this case, a novel open-source software sorting algorithm may be an effective solution. Considering both subjective and objective levels, we propose a new method on software sorting and retrieving. In the subjective level, metrics are selected from the corresponding collaborative development community based on software topic. In the objective level, metrics are obtained from the group emotional evaluation value of the knowledge sharing community. We have proved the effectiveness of the method through comparison experiments. Combining with the Solrcloud tool, this method has been integrated into the OSSEAN platform.
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