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arXiv 1903.09413cs.SE
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数据密集型软件系统的测试

On Testing Data-Intensive Software Systems

Michael Felderer, Barbara Russo, Florian Auer

摘要:

当今的软件系统,如网络物理生产系统或大数据系统,必须处理大量不同类型的数据,这严重影响了这些所谓的数据密集型系统的质量。然而,传统的软件测试方法更关注功能行为而不是数据方面。因此,数据在测试中的作用必须重新考虑,需要针对数据密集型软件系统的特定测试方法。因此,本章的目的是通过(1)提供有关数据密集型软件系统及其测试的基本术语和背景,以及(2)介绍该领域的研究现状和热点问题,为这一领域做出贡献。最后,讨论了数据密集型软件系统测试的研究方向和新的前沿。

英文摘要:

Today's software systems like cyber-physical production systems or big data systems have to process large volumes and diverse types of data which heavily influences the quality of these so-called data-intensive systems. However, traditional software testing approaches rather focus on functional behavior than on data aspects. Therefore, the role of data in testing has to be rethought and specific testing approaches for data-intensive software systems are required. Thus, the aim of this chapter is to contribute to this area by (1) providing basic terminology and background on data-intensive software systems and their testing, and (2) presenting the state of the research and the hot topics in the area. Finally, the directions of research and the new frontiers on testing data-intensive software systems are discussed.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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