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

Lahcène Brahimi, Yassine Ouhammou, Ladjel Bellatreche, Abdelkader Ouared
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引用次数: 7

Abstract

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.
提高测试结果的透明度:建立开放的集体知识库
我们正在见证数据库技术的爆炸式发展,它涵盖了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进步整合到数据库设计中。他们提出的解决方案必须面对类似的研究,这些研究的结果要么发表在科学论文上,要么发表在交易处理委员会(Transaction Processing Council)等特定网站上。最近,一些研究人员强调了重现现有研究结果的困难。因此,某些研究团体要求必须公布测试活动的环境和结果,以便于他们的复制,公布他们的模拟器环境,以便于评估人员自己进行实验。这与大众汽车污染控制造假丑闻非常相似。在本文中,我们首先倡导数据库领域测试的透明性。其次,我们建议使用专用的存储库来存储测试环境和结果。环境包括使用的数据集、部署平台、非功能需求、使用的算法、假设等,以及使用其度量单元完成的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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