Towards the Application of Test Driven Development in Big Data Engineering

Big data analytics have claimed an important role in today's society. Consequently, ways of improving the design and development of the corresponding applications are highly sought after. One rather current proposition is the application of test driven development (TDD) in the big data domain. The idea behind it is to increase the quality and the flexibility of the developed solutions. However, the application of TDD is often seen as a rather challenging task. Therefore, to increase the accessibility and facilitate its use, it is necessary to provide information that give orientation for interested developers. Hence, the publication at hand focuses on the question which considerations, information, and resources need to be provided to facilitate the widespread utilization of TDD in the big data domain. In doing so, it can be used as the foundation for an inventory of the current state of the related literature but also as a call for action to fill remaining gaps by conducting corresponding research endeavours.