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More transparency in testing results: Towards an open collective knowledge base

机译:测试结果更加透明:建立开放的集体知识库

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We are currently witnessing an explosion of advances in database technology, that cover all phases of database application design: non-functional requirements, conceptual modeling, logical modeling, deployment, physical design and exploitation. Researchers and engineers cooperate to integrate these advances in the database design. Their proposed solutions have to be confronted with similar studies whose results have been either published in scientific papers or on specific websites such as that of TPC (the Transaction Processing Council). Recently, several researchers have highlighted difficulties in reproducing the results of existing studies. As a consequence, certain research communities require that the environment and the results of the testing activities have to be published in order to facilitate their reproduction, to publish their simulator environments, in order to allow evaluators to perform by their own the experiments. This is quite similar to the Volkswagen fake pollution controls scandal. In this paper, we firstly, advocate the transparency of testing in the database field. Secondly, we propose the use of a repository dedicated to store testing environment and results. The environment includes used data sets, deployment platform, non-functional requirements, used algorithms, hypotheses, etc. and the results completed with their measurement units.
机译:当前,我们正在见证数据库技术的飞速发展,涵盖数据库应用程序设计的所有阶段:非功能需求,概念建模,逻辑建模,部署,物理设计和开发。研究人员和工程师合作将这些先进技术集成到数据库设计中。他们提出的解决方案必须面对类似的研究,这些研究的结果已发表在科学论文中或在TPC(交易处理委员会)的特定网站上发表。最近,一些研究人员强调了复制现有研究结果的困难。结果,某些研究团体要求必须发布环境和测试活动的结果,以利于它们的复制,发布其仿真器环境,以使评估人员能够自己进行实验。这与大众汽车假冒污染控制丑闻非常相似。在本文中,我们首先提倡在数据库领域进行测试的透明性。其次,我们建议使用专用于存储测试环境和结果的存储库。该环境包括使用过的数据集,部署平台,非功能性需求,使用过的算法,假设等,以及以测量单位完成的结果。

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