大数据
计算机科学
人气
数据科学
领域(数学分析)
命题
考试(生物学)
测试驱动开发
开发(拓扑)
软件工程
数据挖掘
软件开发
软件
数学分析
程序设计语言
古生物学
哲学
认识论
生物
社会心理学
数学
心理学
作者
Daniel Staegemann,Matthias Volk,Erik Lautenschläger,Matthias Pohl,Mohammad Abdallah,Klaus Turowski
标识
DOI:10.1109/icit52682.2021.9491728
摘要
Big data has evolved to a ubiquitous part of today's society. However, despite its popularity, the development and testing of the corresponding applications are still very challenging tasks that are being actively researched in pursuit of ways for improvement. One newly introduced proposition is the application of test driven development (TDD) in the big data domain. To facilitate this concept, existing literature reviews on TDD have been analyzed to extract insights from those sources of aggregated knowledge, which can be applied to this new setting. After introducing the different studies, lessons for the application of TDD in the big data domain are deducted and discussed. Finally, avenues for future works are proposed.
科研通智能强力驱动
Strongly Powered by AbleSci AI