Big data and test

A. Gattiker
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Abstract

Big data is now a ubiquitous part of life — both in test and in many other areas. This talk discusses some of the big problems facing us in test and looks at analogous problems outside of the test domain. It aims to both step back and abstract test-specific problems into general problems and point out similarities and contrasts between test and non-test problems. It also highlights interesting aspects of applying some test-like techniques in non-test settings such as cognitive computing.
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大数据与测试
大数据现在是生活中无处不在的一部分——无论是在测试中还是在许多其他领域。这次演讲讨论了我们在测试中面临的一些大问题,并着眼于测试领域之外的类似问题。它的目的是后退一步,将特定于测试的问题抽象为一般问题,并指出测试问题和非测试问题之间的相似性和对比。它还强调了在非测试环境(如认知计算)中应用一些类似测试的技术的有趣方面。
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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